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Balanced Medical Image Classification with Transfer Learning and Convolutional Neural Networks

David Benavente, Gustavo Gatica, Jesús González-Feliu
<span title="2022-03-07">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/snp4qy45wbcu3bcifcnyqqg54m" style="color: black;">Axioms</a> </i> &nbsp;
This paper aims to propose a tool for image classification in medical diagnosis decision support, in a context where computational power is limited and then specific, high-speed computing infrastructures  ...  The proposed method combines a deep neural networks algorithm with medical imaging procedures and is implemented to allow an efficient use on affordable hardware.  ...  system stakeholders, it appears that X-ray imaging is one of the main fields of application of computer vision that would add an important contribution to medical decision making.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/axioms11030115">doi:10.3390/axioms11030115</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/425mlfhumbbj5bywbblgsn6tbu">fatcat:425mlfhumbbj5bywbblgsn6tbu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220311150136/https://mdpi-res.com/d_attachment/axioms/axioms-11-00115/article_deploy/axioms-11-00115.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ac/a7/aca7d3941f923e24ad3145730a211d33d073c406.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/axioms11030115"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Data Augmentation using Auxiliary Classifier for Improved Detection of Covid 19

Lakshmisetty Ruthvik Raj, Department of Computer Science, Vellore Institute of Technology, Vellore (Tamil Nadu), India., Bitra Harsha Vardhan, Mullapudi Raghu Vamsi, Keerthikeshwar Reddy Mamilla, Poorna Chandra Vemula, Department of Computer Science, Vellore Institute of Technology, Vellore (Tamil Nadu), India., Department of Computer Science, Vellore Institute of Technology, Vellore (Tamil Nadu), India., Department of Computer Science, Vellore Institute of Technology, Vellore (Tamil Nadu), India., Department of Computer Science, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
<span title="2021-09-30">2021</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
Due to the recent end of the pandemic, it is difficult to collect many Covid x-ray images in a short period.  ...  Additionally, we demonstrate that the performance of CNNs and various COVID-19 acquisition algorithms can be used to generate synthetic images from data extensions.  ...  GAN is used to generate distinct images of the lungs and heart during a chest X-ray examination. The GAN algorithm was used to generate CT images of brain patches connected to a compatible MRI.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.c6386.0910321">doi:10.35940/ijrte.c6386.0910321</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v3ld7koemvayddlqy5jbzpsrni">fatcat:v3ld7koemvayddlqy5jbzpsrni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211006014912/https://www.ijrte.org/wp-content/uploads/papers/v10i3/C63860910321.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/44/91/449124c30c906939754daf567c9de108a8924879.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.c6386.0910321"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

ImageCLEF 2014: Overview and Analysis of the Results [chapter]

Barbara Caputo, Henning Müller, Jesus Martinez-Gomez, Mauricio Villegas, Burak Acar, Novi Patricia, Neda Marvasti, Suzan Üsküdarlı, Roberto Paredes, Miguel Cazorla, Ismael Garcia-Varea, Vicente Morell
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Since its first edition in 2003, ImageCLEF has become one of the key initiatives promoting the benchmark evaluation of algorithms for the annotation and retrieval of images in various domains, such as  ...  The 2014 edition consists of four tasks: domain adaptation, scalable concept image annotation, liver CT image annotation and robot vision.  ...  [18] have implemented the annotation using three-hierarchy-level SVM classification on X-ray images. Devrim et al. [33] used two approaches to automatically annotate X-ray images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-11382-1_18">doi:10.1007/978-3-319-11382-1_18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3spn4qmtlbc6ddqwu26gg4z434">fatcat:3spn4qmtlbc6ddqwu26gg4z434</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429102346/https://riunet.upv.es/bitstream/handle/10251/49754/Caputo14_CLEF_ImageCLEF-overview_draft.pdf;jsessionid=8B64E235EA2B59A5C16BC85AC11E9554?sequence=3" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/aa/a7aa0b68206c98405b7e69079011ec8b2f5d9e5c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-11382-1_18"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Transfer Learning from Synthetic Data Applied to Soil–Root Segmentation in X-Ray Tomography Images

Clément Douarre, Richard Schielein, Carole Frindel, Stefan Gerth, David Rousseau
<span title="2018-05-06">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/au3ye363lzbdroopx7rzfyv63m" style="color: black;">Journal of Imaging</a> </i> &nbsp;
One of the most challenging computer vision problems in the plant sciences is the segmentation of roots and soil in X-ray tomography.  ...  The robustness of this technique, tested for the first time with this plant science problem, is established using soil-roots with very low contrast in X-ray tomography.  ...  Richard SCHIELEIN acknowledges support from the EU COST action 'The quest for tolerant varieties: phenotyping at plant and cellular level (FA1306)'.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging4050065">doi:10.3390/jimaging4050065</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mnatauddwbgg7p4hhk43qgl7cu">fatcat:mnatauddwbgg7p4hhk43qgl7cu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728105710/https://res.mdpi.com/def50200f5415566caad9a8ba2818c79d1939c3eafd68d03d14dd06356f82b056b340e0f06f796d69b926d37bdaabdb0d59074dbba89e4a4925573a27ba4b56c7926fb1a0ce7358d22cfae18347e2e77ae4395023caf12a100b53eab3519834ded7e42bcbb38b87f12f44e1fd5588fe69cdd4d09778c0dc3344facbd2eae1abfbbf380d86df8e2e01e89ff4400becaf1a2e727?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2f/f3/2ff358b38bd92c2f8ef939e5ccee6063186f6026.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging4050065"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images

Prabal Datta Barua, Nadia Fareeda Muhammad Gowdh, Kartini Rahmat, Norlisah Ramli, Wei Lin Ng, Wai Yee Chan, Mutlu Kuluozturk, Sengul Dogan, Mehmet Baygin, Orhan Yaman, Turker Tuncer, Tao Wen (+2 others)
<span title="2021-07-29">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vyslcn4ljzdq3jes5w7fln3qyu" style="color: black;">International Journal of Environmental Research and Public Health</a> </i> &nbsp;
In this work, we have proposed a novel COVID-19 detection system using an exemplar and hybrid fused deep feature generator with X-ray images.  ...  The presented model is developed using four X-ray image corpora (DB1, DB2, DB3 and DB4) with two, three and four classes.  ...  Acknowledgments: We gratefully acknowledge the Medical Research Ethics Committee, University Malaya Medical Centre, for data transcription.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph18158052">doi:10.3390/ijerph18158052</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hs27oai5zfb7bfwxwyyiocz7fe">fatcat:hs27oai5zfb7bfwxwyyiocz7fe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210731035012/https://res.mdpi.com/d_attachment/ijerph/ijerph-18-08052/article_deploy/ijerph-18-08052-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/07/1907d85c124b4fbc6d550a514ad0d41a2f77ed5c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph18158052"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Study on the Sport Demonstration System Based on Three-dimensional Reconstruction

Lei Geng, Junjie Li, J.Y. Li, T.Y. Liu, T. Deng, M. Tian
<span title="">2015</span> <i title="EDP Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4vlgvitw6fcmbay5hkyo2s2ime" style="color: black;">MATEC Web of Conferences</a> </i> &nbsp;
computer vision database OpenCVD [4] .  ...  It abstracted the algorithm and established the sport demonstration system through the methods which have been realized by computer science.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/matecconf/20152201029">doi:10.1051/matecconf/20152201029</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/atuz67htvbhoheij3cpct5samq">fatcat:atuz67htvbhoheij3cpct5samq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809120436/https://www.matec-conferences.org/articles/matecconf/pdf/2015/03/matecconf_iceta2015_01029.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/59/fc/59fc9f6bb5b7da4994343c8a647fb30390155e70.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1051/matecconf/20152201029"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Applying robust structure from motion to markerless augmented reality

Jonathan Mooser, Suya You, Ulrich Neumann, Quan Wang
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wsjivbkuezdvxdnrhihbwjrxlu" style="color: black;">2009 Workshop on Applications of Computer Vision (WACV)</a> </i> &nbsp;
Both components make use of the recently developed subtrack optimization algorithm for structure from motion, which we demonstrate to be a useful tool for both learning the structure of objects and tracking  ...  We demonstrate a complete system for markerless augmented reality using robust structure from motion. The proposed system includes two main components.  ...  Acknowledgements This study was funded by the Center of Excellence for Research and Academic Training on Interactive Smart Oilfield Technologies (CiSoft); CiSoft is a joint University of Southern California-Chevron  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wacv.2009.5403038">doi:10.1109/wacv.2009.5403038</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wacv/MooserYNW09.html">dblp:conf/wacv/MooserYNW09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fjqosrztlbbkjbnsb6d5nccqvq">fatcat:fjqosrztlbbkjbnsb6d5nccqvq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120713225537/http://graphics.usc.edu/cgit/publications/papers/JM_WACV09.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5c/d5/5cd549450212ed5154acd3f91dc1fe0e0afef275.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wacv.2009.5403038"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Automatic Gender Classification through Face Segmentation

Khalil Khan, Muhammad Attique, Ikram Syed, Asma Gul
<span title="2019-06-06">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzoj5rayr5hutlurimhzyjlory" style="color: black;">Symmetry</a> </i> &nbsp;
The probabilistic classification strategy (PCS) is used, and probability maps are created for all six classes.  ...  The CRFs based model is used to segment a face image into six different classes—mouth, hair, eyes, nose, skin, and back.  ...  Acknowledgments: We are immensely grateful to the anonymous reviewers and editor for their comments on an earlier version of the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym11060770">doi:10.3390/sym11060770</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z7dyzblzwzelrogmj4fdbetsru">fatcat:z7dyzblzwzelrogmj4fdbetsru</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200215032207/https://res.mdpi.com/d_attachment/symmetry/symmetry-11-00770/article_deploy/symmetry-11-00770.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/34/123496be277c98737b6dc93fae3fae552f6cf111.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym11060770"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Authenticate Aadhar Card Picture with Current Image using Content Based Image Processing

Nehali M. Ghosalkar
<span title="2019-06-27">2019</span> <i title="Zenodo"> Zenodo </i> &nbsp;
CBIR system is depends on competent feature extraction and accurate repossession of similar images.  ...  Content based image retrieval is the work for retrieving the images from the large collection of database on the basis of their own visual content.  ...  OpenCV: OpenCV (Open Source Computer Vision) is a library used for real-time computer vision. This is cross-platform and free for use under the open-source BSD license. [13] 1.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3590938">doi:10.5281/zenodo.3590938</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k4e6ig6f3bhgzcl6sofaikha3q">fatcat:k4e6ig6f3bhgzcl6sofaikha3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208174405/https://zenodo.org/record/3590939/files/266%20Authenticate%20Aadhar%20Card%20picture%20with%20current%20image%20using%20content-based%20image%20processing.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/2f/fb2f842e955b76916fd9b2fdf3e1d9729d0f9dd4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.3590938"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Stereo Spectral Imaging System for Plant Health Characterization [chapter]

S. C. Yoon, C. N. Thai
<span title="">2010</span> <i title="Springer Netherlands"> Technological Developments in Networking, Education and Automation </i> &nbsp;
Three-dimensional (3D) measurements of whole plants may provide detailed structure information about plant health and also complement existing X-ray systems for the below-ground part.  ...  We integrated both stereo vision and NDVI techniques and developed a stereo spectral imaging (SSI) system for chlorophyll and biomass quantification of plants in 3D space.  ...  cotton, poplar and switch grass, and also complement existing X-ray systems for the below-ground part.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-90-481-9151-2_31">doi:10.1007/978-90-481-9151-2_31</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uiv56p3n2bgllay6jzpwmrw6qe">fatcat:uiv56p3n2bgllay6jzpwmrw6qe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923203859/https://naldc.nal.usda.gov/naldc/download.xhtml?id=40814&amp;content=PDF" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/63/416336ca42492605c0c2dfdd163cd42631366d48.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-90-481-9151-2_31"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

CovFrameNet: An enhanced deep learning framework for COVID-19 detection

Olaide N. Oyelade, Absalom E. Ezugwu, Haruna Chiroma
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The National Institutes of Health (NIH) Chest X-Ray dataset and COVID-19 Radiography database were used to evaluate and validate the effectiveness of the proposed deep learning model.  ...  INDEX TERMS Image pre-processing, coronavirus, COVID-19, machine learning, deep learning, convolutional neural network, CNN, X-Ray.  ...  We obtained 363 instances of images and their accompanying metadata from the COVID-19 X-Ray database. The second database is the National Institutes of Health (NIH) Chest X-Ray Dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3083516">doi:10.1109/access.2021.3083516</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tdivkbc5ufe4xhxz2nshpzgezm">fatcat:tdivkbc5ufe4xhxz2nshpzgezm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210728095941/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09440437.pdf?tp=&amp;arnumber=9440437&amp;isnumber=9312710&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/b9/b8b9d0d77c267d36061e4988f1b043a41917f454.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3083516"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

SEMANTIC SCENE UNDERSTANDING FOR THE AUTONOMOUS PLATFORM

B. Vishnyakov, Y. Blokhinov, I. Sgibnev, V. Sheverdin, A. Sorokin, A. Nikanorov, P. Masalov, K. Kazakhmedov, S. Brianskiy, Е. Andrienko, Y. Vizilter
<span title="2020-08-12">2020</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
In this paper we describe a new multi-sensor platform for data collection and algorithm testing.  ...  Also, we describe our virtual simulation complex based on Unreal Engine, that can be used for both data collection and algorithm testing.  ...  An optional remote Wi-Fi connection of the operator to the computing unit is also optionally provided for the purpose of monitoring data collection processes or testing computer vision algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xliii-b2-2020-637-2020">doi:10.5194/isprs-archives-xliii-b2-2020-637-2020</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dn3w4ufzqnc6da2tf4kadhtx7a">fatcat:dn3w4ufzqnc6da2tf4kadhtx7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200813165626/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/637/2020/isprs-archives-XLIII-B2-2020-637-2020.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/08/06/08067d9af12cfa0c1836a11765c5f992f321e2d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xliii-b2-2020-637-2020"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automatic detection of image sharpening in maxillofacial radiology

Lazar Kats, Yuli Goldman, Adrian Kahn
<span title="2021-08-19">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/klwtl3wcsfhwxfyceejqqxd3dy" style="color: black;">BMC Oral Health</a> </i> &nbsp;
Methods The in-house created dataset contained 4290 X-ray slices from different datasets of cone beam computed tomography images were taken on 2 different devices: Ortophos 3D SL (Sirona Dental Systems  ...  Results For the test, 1200 different images with the filter and without modification were used.  ...  Acknowledgements Not applicable. 1 Department of Oral Pathology, Oral Medicine and Maxillofacial Imaging, School of Dental Medicine, Tel Aviv University, 69978 Tel Aviv, Israel. 2 Department of Oral and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12903-021-01777-9">doi:10.1186/s12903-021-01777-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34412602">pmid:34412602</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8377834/">pmcid:PMC8377834</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rp4dhfa4ojew3jngabnswxhd5u">fatcat:rp4dhfa4ojew3jngabnswxhd5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210909121043/https://bmcoralhealth.biomedcentral.com/track/pdf/10.1186/s12903-021-01777-9.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0e/1f/0e1fe02fe15ea8342ac608e5e85e0b0c32d739ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12903-021-01777-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377834" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

Sema Candemir, Stefan Jaeger, Kannappan Palaniappan, Jonathan P. Musco, Rahul K. Singh, Zhiyun Xue, Alexandros Karargyris, Sameer Antani, George Thoma, Clement J. McDonald
<span title="">2014</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a> </i> &nbsp;
The National Library of Medicine (NLM) is developing a digital chest x-ray (CXR) screening system for deployment in resource constrained communities and developing countries worldwide with a focus on early  ...  The method consists of three main stages: (i) a content-based image retrieval approach for identifying training images (with masks) most similar to the patient CXR using a partial Radon transform and Bhattacharyya  ...  The views and opinions of authors expressed in this paper do not necessarily state or reflect those of the United States Government or any agency thereof, and they may not be used for advertising or product  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2013.2290491">doi:10.1109/tmi.2013.2290491</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24239990">pmid:24239990</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bohmwjq56bc7lklwch47qruudy">fatcat:bohmwjq56bc7lklwch47qruudy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829142320/http://cell.missouri.edu/media/publications/06663723.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4e/0c/4e0cdcff9afa6a5a1f1df300a5933fb1b85166da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2013.2290491"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Classification and Predictions of Lung Diseases from Chest X-rays Using MobileNet V2

Abdelbaki Souid, Nizar Sakli, Hedi Sakli
<span title="2021-03-18">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Featured Application: The method presented in this paper can be applied in medical computer systems for supporting medical diagnosis.Abstract: Thoracic radiography (chest X-ray) is an inexpensive but effective  ...  and widely used medical imaging procedure.  ...  Acknowledgments: This work was supported in part by the Research and Development Division of the society of EITA Consulting in France.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11062751">doi:10.3390/app11062751</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t6un37aajnhuhbnbnme3oxoijy">fatcat:t6un37aajnhuhbnbnme3oxoijy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210326234457/https://res.mdpi.com/d_attachment/applsci/applsci-11-02751/article_deploy/applsci-11-02751-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cc/85/cc8521666be77247752b7ed65f237d4b5d92aac1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11062751"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>
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