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Automated airway segmentation by learning graphical structure [article]

Yihua Yang
<span title="2021-09-30">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Keywords: Airway segmentation, Convolutional neural network, Graph neural network  ...  In this research project, we put forward an advanced method for airway segmentation based on the existent convolutional neural network (CNN) and graph neural network (GNN).  ...  Graph Neural Network Graph neural network (GNN) is different from CNN in that it considers the global graph structures [13] . To begin with, we give the definition of a graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.14792v1">arXiv:2109.14792v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/othll7vptfg3nlf2y3l6jtnhtm">fatcat:othll7vptfg3nlf2y3l6jtnhtm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211002183309/https://arxiv.org/pdf/2109.14792v1.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/57/cd/57cdbf8b996ba7b7f98f112f3610639f814722de.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.14792v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Upper Airway Segmentation Based on the Attention Mechanism of Weak Feature Regions

Wei Wu, Yang Yu, Qing Wang, Dongxu Liu, Xiao Yuan
<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;
In this paper, a method based on deep learning is proposed to automatically segment the upper airway on CBCT data. The main process is to obtain a coarse segmentation result map through 3D U-Net.  ...  INDEX TERMS Attention mechanism, medical image segmentation, upper airway, weak feature detection.  ...  [31] proposed a new lung CT airway segmentation method, which uses a 2.5D Convolutional Neural Networks (CNN) to train network in a supervised manner pixel by pixel.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3094032">doi:10.1109/access.2021.3094032</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/acvoqpnwv5hzncthtdbmm4ru6m">fatcat:acvoqpnwv5hzncthtdbmm4ru6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210722081446/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09469741.pdf?tp=&amp;arnumber=9469741&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/4d/05/4d0531f3230a47305d7c50706d5c39c5afcd11ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3094032"> <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>

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [article]

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
<span title="2021-05-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As such, graph neural networks have attracted significant attention by exploiting implicit information that resides in a biological system, with interactive nodes connected by edges whose weights can be  ...  With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled.  ...  TGCN model: Traditional temporal convolutional neural networks (TCNN) show that variations of convolutional neural networks can achieve impressive results for sequential data [65] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.13137v1">arXiv:2105.13137v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gm7d2ziagba7bj3g34u4t3k43y">fatcat:gm7d2ziagba7bj3g34u4t3k43y</a> </span>
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Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
<span title="">2020</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;
Recent works based on convolution neural networks have achieved good performance for this task. However, they are still limited in capturing structured relationships due to the nature of convolution.  ...  With a limited amount of training data available from COVID-19 subjects, we initially train and validate RTSU-Net on a cohort of 5000 subjects from the COPDGene study (4000 for training and 1000 for evaluation  ...  ACKNOWLEDGMENT The authors acknowledge the COPDGene Study (ancillary study ANC-398) for providing the data used. The content is solely the responsibility of the authors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2020.2995108">doi:10.1109/tmi.2020.2995108</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32730216">pmid:32730216</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7393217/">pmcid:PMC7393217</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6zrbu34jrjajbc2yaeyeslhiz4">fatcat:6zrbu34jrjajbc2yaeyeslhiz4</a> </span>
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Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans [article]

Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
<span title="2020-05-12">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent works based on convolution neural networks have achieved good performance for this task. However, they are still limited in capturing structured relationships due to the nature of convolution.  ...  With a limited amount of training data available from COVID-19 subjects, we initially train and validate RTSU-Net on a cohort of 5000 subjects from the COPDGene study (4000 for training and 1000 for evaluation  ...  DISCUSSION AND CONCLUSION We have presented a novel method using relational twostage convolution neural networks for segmenting pulmonary lobes in CT images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.07443v4">arXiv:2004.07443v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zbiwscbwnjdy5n53lzsjpofapi">fatcat:zbiwscbwnjdy5n53lzsjpofapi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200528045506/https://arxiv.org/pdf/2004.07443v4.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.07443v4" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications [article]

Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitri N. Metaxas
<span title="2022-04-21">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The development of graph convolutional networks (GCNs) has created the opportunity to address this information complexity via graph-driven architectures, since GCNs can perform feature aggregation, interaction  ...  We discuss the fast-growing use of graph network architectures in medical image analysis to improve disease diagnosis and patient outcomes in clinical practice.  ...  The label incompleteness is addressed by combining a classification network with a graph convolutional network that characterizes label co-occurrence (Wu et al.) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.08916v3">arXiv:2202.08916v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zskcqvgjpnb6vdklmyy5rozswq">fatcat:zskcqvgjpnb6vdklmyy5rozswq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220424044602/https://arxiv.org/pdf/2202.08916v3.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/c8/a0/c8a018d72af8b1a972694a891c7ac0c13810c380.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.08916v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation [article]

Ali Hatamizadeh
<span title="2020-06-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recently, convolutional neural networks (CNNs) have gained traction in the design of automated segmentation pipelines.  ...  In particular, our contributions include (1) state-of-the-art 2D and 3D image segmentation networks for computer vision and medical image analysis, (2) an end-to-end trainable image segmentation framework  ...  Garcia and Bruna [34] expanded this idea and used a graph convolutional neural network to learn the distance metric.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.12706v1">arXiv:2006.12706v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6jchhrv6zrhlhbpcak6fcbh4a4">fatcat:6jchhrv6zrhlhbpcak6fcbh4a4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930040713/https://arxiv.org/pdf/2006.12706v1.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/d9/be/d9be5830c3269d8ad78d505ede102351f3fb3818.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.12706v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

clDice – a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation [article]

Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze
<span title="2021-03-30">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Extending this, we propose a computationally efficient, differentiable loss function (soft-clDice) for training arbitrary neural segmentation networks.  ...  Training on soft-clDice leads to segmentation with more accurate connectivity information, higher graph similarity, and better volumetric scores.  ...  Further, topological priors of containment were applied to histology scans [5] , a 3D CNN with graph refinement was used to improve airway connectivity [19] , and recently, Mosinska et al. trained networks  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.07311v6">arXiv:2003.07311v6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppfzh63swjc37mkbizxvpd3r7e">fatcat:ppfzh63swjc37mkbizxvpd3r7e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210401000911/https://arxiv.org/pdf/2003.07311v6.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/a4/aca4fa957e16e65519953766877411cc76b26a0e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.07311v6" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

<span title="">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ohr6juw5xrcrzgnsati6eq3edq" style="color: black;">International Journal of Computer Assisted Radiology and Surgery</a> </i> &nbsp;
The traditional platforms of CARS Congresses for the scholarly publication and communication process for the presentation of R&D ideas were congress centers or hotels, typically hosting 600-800 participants  ...  Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are  ...  We thank NVIDIA for the Titan X hardware grant that allowed us to process the images in a faster way. ].  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11548-020-02171-6">doi:10.1007/s11548-020-02171-6</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32514840">pmid:32514840</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lyhdb2zfpjcqbf4mmbunddwroq">fatcat:lyhdb2zfpjcqbf4mmbunddwroq</a> </span>
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Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness

Min-Hee Lee, Seung Ku Lee, Robert J Thomas, Jee-Eun Yoon, Chang-Ho Yun, Chol Shin
<span title="2021-09-17">2021</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ghlx6kmlgremdicczlf6usmymm" style="color: black;">Nature and Science of Sleep</a> </i> &nbsp;
A deep learning method can assess the association of brain network characteristics with OSA severity and daytime sleepiness and specify the relevant brain connectivity.  ...  In addition, we investigated sex effects on deep learning outputs for OSA and daytime sleepiness and examined the differences in brain connectivity related to daytime sleepiness between OSA and non-OSA  ...  In addition, RJT has a patent ECG-spectrogram with royalties paid by MyCardio, LLC, a patent PAPGAM issued, and a patent Auto CPAP licensed to DeVilbiss-Drive.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2147/nss.s327110">doi:10.2147/nss.s327110</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34557049">pmid:34557049</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8455296/">pmcid:PMC8455296</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ytctlu3gifbsfdbkmejoq6vlqa">fatcat:ytctlu3gifbsfdbkmejoq6vlqa</a> </span>
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Learning Capacity in Simulated Virtual Neurological Procedures

Mattia Samuel Mancosu, Silvester Czanner, Martin Punter
<span title="">2020</span> <i title="University of West Bohemia"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dgusicplsjdhbh35yt34qwibau" style="color: black;">Journal of WSCG</a> </i> &nbsp;
ACKNOWLEDGEMENTS The authors would like to thank Oana Rotaru-Orhei for her comments and the three anonymous reviewers for their insightful suggestions.  ...  ACKNOWLEDGMENTS The authors acknowledge the support of the NSERC/Creaform Industrial Research Chair on 3-D Scanning for conducting the work presented in this paper.  ...  The generalization of Convolutional Neural Networks (CNNs) to signals sampled on non-Euclidean domains (in the most general setting, graphs) can be achieved by defining the convolution in the graph Fourier  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24132/csrn.2020.3001.13">doi:10.24132/csrn.2020.3001.13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uytlm7nytrhmnk553ellfhl54a">fatcat:uytlm7nytrhmnk553ellfhl54a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106120751/http://wscg.zcu.cz/WSCG2020/2020-CSRN-3001.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24132/csrn.2020.3001.13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A graph-based approach for the retrieval of multi-modality medical images

Ashnil Kumar, Jinman Kim, Lingfeng Wen, Michael Fulham, Dagan Feng
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
Advances in sensors and imaging technologies are contributing to rapidly expanding data repositories that contain interrelated information from different modalities.  ...  algorithm [48] with refinements to segment the lung ROI from the CT.  ...  We created a reference index for the OncoPET data using the tumour labels in the annotation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2013.11.003">doi:10.1016/j.media.2013.11.003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24378541">pmid:24378541</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mqzxyjza4bhwdk7iat5veyaqfq">fatcat:mqzxyjza4bhwdk7iat5veyaqfq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720075435/https://ses.library.usyd.edu.au/bitstream/2123/9343/1/Kumar_a_thesis.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/ff/51/ff51b726d389bbba2ca8c426a1077005eb93d793.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2013.11.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Special Session on Abdominal CAD

<span title="2008-05-27">2008</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ohr6juw5xrcrzgnsati6eq3edq" style="color: black;">International Journal of Computer Assisted Radiology and Surgery</a> </i> &nbsp;
Acknowledgments This study was supported in part by a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science, and Technology, Japan, and a Grant-in-Aid for Cancer  ...  We employed seven independent artificial neural networks (ANNs) by use of extracted image features for classifying five types of liver diseases.  ...  In this study, the adapted BPNN classifier was a multi-layer neural network with one hidden layer of six neurons, using a sigmoid function as the activation function.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11548-008-0193-x">doi:10.1007/s11548-008-0193-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2keil6uhbndanix77qqxoofd3u">fatcat:2keil6uhbndanix77qqxoofd3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20090115231139/http://www.ph.tn.tudelft.nl/~lucas/publications/2008/CARS2008_Vos.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/75/b9/75b9ad74f5a8d5a9608281ed16af10a7ac904427.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11548-008-0193-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Tree Topology Estimation

Rolando Estrada, Carlo Tomasi, Scott C. Schmidler, Sina Farsiu
<span title="2015-08-01">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3px634ph3vhrtmtuip6xznraqi" style="color: black;">IEEE Transactions on Pattern Analysis and Machine Intelligence</a> </i> &nbsp;
A wide variety of two-dimensional imaging techniques allow us to image trees.  ...  We present a methodology for estimating the most likely topology of a rooted, directed, three-dimensional tree given a single two-dimensional image of it.  ...  Tree reconstruction In tree reconstruction, the goal is to either segment out or estimate the topology of a tree from 3D volumetric data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2014.2382116">doi:10.1109/tpami.2014.2382116</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26353004">pmid:26353004</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4566856/">pmcid:PMC4566856</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7tlcg7zegjdlrngwsodn6zjc6q">fatcat:7tlcg7zegjdlrngwsodn6zjc6q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170815041452/https://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/8074/Estrada_duke_0066D_12101.pdf?sequence=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/d8/98/d898d84389ff4b4c87c882418c428b66854674ca.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2014.2382116"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566856" 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 image segmentation and vision-based navigation for interventional bronchoscopy

Mali Shen, Guang-Zhong Yang, Pallav Shah, Imperial College London
<span title="2020-10-20">2020</span>
Furthermore, automatic fi ssure segmentation is explored by adopting a surface growing approach based on Bayesian network and fully convolutional neural networks.  ...  Recent advances in lung volume reduction (LVR) offer new therapies with much lower complication rates than open surgery for patients with emphysema.  ...  Convolutional neural networks (CNN) use the convolutional filters as the elementary operation at each node.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25560/83323">doi:10.25560/83323</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jv5aqus5wva6tnxsipkyql6ura">fatcat:jv5aqus5wva6tnxsipkyql6ura</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201025005255/https://spiral.imperial.ac.uk:8443/bitstream/10044/1/83323/1/Shen-M-2019-PhD-Thesis.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/1a/00/1a00e9d8650bfbb76e67439d68b578d5a376012f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25560/83323"> <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>
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