A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier
2018
Journal of Biomedical Optics
Preserved Fulltext
Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier," J. Abstract. ...
The present research intends to propose a fully automatic algorithm for the classification of threedimensional (3-D) optical coherence tomography (OCT) scans of patients suffering from abnormal macula ...
abnormal macula in retinal optical coherence tomography. . . ...
doi:10.1117/1.jbo.23.3.035005
pmid:29564864
fatcat:r433zhaa3bbz7dh7s7pv5g5b24
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis
[chapter]
2018
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
for Histopathology 351 Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-Phase CT Images 352 Domain and Geometry Agnostic CNNs for Left Atrium Segmentation ...
Deep Neural Network and Statistical Shape Model for Pancreas Segmentation 327 One-pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation 329 MRI Measurement of Placental ...
doi:10.1007/978-3-030-00931-1_48
pmid:30338317
pmcid:PMC6191198
fatcat:dqhvpm5xzrdqhglrfftig3qejq
2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
., +, JSTARS 2020 6277-6290 A Novel Cubic Convolutional Neural Network for Hyperspectral Image Classification. ...
., +, JSTARS 2020 4585-4598 A Novel Cubic Convolutional Neural Network for Hyperspectral Image Classification. ...
A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020 ...
doi:10.1109/jstars.2021.3050695
fatcat:ycd5qt66xrgqfewcr6ygsqcl2y
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., +, TIP 2020 2026-2036 Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images. ...
., +, TIP 2020 6561-6573
Deep Neural Network Regression for Automated Retinal Layer Segmen-
tation in Optical Coherence Tomography Images. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Deep neural networks (DNNs) have been widely applied to the automatic analysis of medical images for disease diagnosis and to help human experts by efficiently processing immense amounts of images. ...
tomography image-based eye disease classification. ...
Optical coherence tomography (OCT) has become a powerful imaging modality for non-invasive diagnosis of various retinal abnormalities, such as choroidal neovascularization (CNV) [1] - [3] , diabetic ...
doi:10.1109/access.2019.2891975
fatcat:54pbkn2zuzcupc3a6s4y2repiy
Front Matter: Volume 10574
2018
Medical Imaging 2018: Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
the subarachnoid space [10574-106] 10574 32 Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images [10574-107] 10574 33 Sequential neural ...
doi:10.1117/12.2315755
fatcat:jdfbaent6vhu5dwlrqrqt66vce
Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images
2021
Entropy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Optical coherence tomography (OCT) images coupled with many learning techniques have been developed to diagnose retinal disorders. ...
This work aims to develop a novel framework for extracting deep features from 18 pre-trained convolutional neural networks (CNN) and to attain high performance using OCT images. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/e23121651
pmid:34945957
pmcid:PMC8700736
fatcat:5me6h5ykazfjzdsdj6xi633gbq
Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper we present a new method for cystoid macular edema (CME) segmentation in retinal Optical Coherence Tomography (OCT) images, using a fully convolutional neural network (FCN) and a fully connected ...
A segmentation accuracy of 0.61± 0.21 (Dice coefficient) was achieved, with respect to the ground truth, which compares favourably with the previous state-of-the-art that used a kernel regression based ...
Acknowledgements We appreciate the discussion and suggestion on framework architecture given by Jinchao Liu from Visionmetric Ltd, and the technical support during the development for system compatibility ...
arXiv:1709.05324v1
fatcat:5qpn65gvdvclha2dtith7q6bii
Front Matter: Volume 10951
2019
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
of a markerless tracking system based on optical coherence tomography 10951 08 Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation Surgical aid visualization system ...
field estimation for maximum intensity projections of 4D optical
coherence tomography [10951-26]
iv
Proc. of SPIE Vol. 10951 1095101-4
Automatic vertebrae localization in spine CT: a deep-learning ...
doi:10.1117/12.2531522
fatcat:6ed6gbuiarfetfqndgjmno772a
Table of Contents
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Ghassemian 567 Spectral-Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional Networks .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
-I Chang 2485 Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
He 1551 Classification of High-Spatial-Resolution Remote Sensing Scenes Method Using Transfer Learning and Deep Convolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . W. ...
doi:10.1109/jstars.2020.3046663
fatcat:zqzyhnzacjfdjeejvzokfy4qze
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary ...
B., Dong, X., and Li, Y., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F ...
Shao, J., +, TGRS Oct. 2019 7860-7871 Image fusion StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Table of contents
2020
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Zhang
7815
High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural
Network ....................................................................... ...
Hoffman 8116 Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images .......................................................... ...
doi:10.1109/tgrs.2020.3029642
fatcat:hpvuqstttzbapkewxrlfvfvb6m
Table of Contents [EDICS]
2021
IEEE Transactions on Computational Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Lin Combining Two-Layer Semi-Three-Dimensional Reconstruction and Multi-Wavelength Image Fusion for Functional Diffuse Optical Tomography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Gao Classification Saliency-Based Rule for Visible and Infrared Image Fusion . . . . . . . . . . . . . . . . .H. Xu, H. Zhang, and J. ...
doi:10.1109/tci.2022.3143315
fatcat:ul2dbyjijvh7ha44zeuftxanfi
Front Matter: Volume 10033
2016
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
on convolutional neural network and binary K-means
[10033-78]
10033 2F
SOFM-type artificial neural network for the non-parametric quality-based classification of
potatoes [10033-42]
10033 2G
Determination ...
doi:10.1117/12.2257252
fatcat:v2ipfp2mp5gedjypzpecahpo7e
A Survey of Soft Computing Approaches in Biomedical Imaging
2021
Journal of Healthcare Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper discusses various medical imaging modalities and presents a short review of soft computing approaches such as fuzzy logic, artificial neural network, genetic algorithm, machine learning, and ...
Medical imaging is an essential technique for the diagnosis and treatment of diseases in modern clinics. Soft computing plays a major role in the recent advances in medical imaging. ...
Optical Coherence Tomography (OCT). ...
doi:10.1155/2021/1563844
pmid:34394885
pmcid:PMC8356006
fatcat:uh6xrqpiyzej5jaepkpwxwzmvq
« Previous
Showing results 1 — 15 out of 463 results