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Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier

Reza Rasti, Alireza Mehridehnavi, Hossein Rabbani, Fedra Hajizadeh
2018 Journal of Biomedical Optics  
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]

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang
2018 Lecture Notes in Computer Science  
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  
., +, 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  
., +, 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

Xuechen Li, Linlin Shen, Meixiao Shen, Connor S. Qiu
2019 IEEE Access  
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

Proceedings of SPIE, Elsa D. Angelini, Bennett A. Landman
2018 Medical Imaging 2018: Image Processing  
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

Prabal Datta Barua, Wai Yee Chan, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Edward J. Ciaccio, Nazrul Islam, Kang Hao Cheong, Zakia Sultana Shahid, U. Rajendra Acharya
2021 Entropy  
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]

Fangliang Bai, Manuel J. Marques, Stuart J. Gibson
2017 arXiv   pre-print
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

Baowei Fei, Cristian A. Linte
2019 Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling  
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  
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  
., 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  
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  
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)  
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

Manju Devi, Sukhdip Singh, Shailendra Tiwari, Subhash Chandra Patel, Melkamu Teshome Ayana, Jiawen Kang
2021 Journal of Healthcare Engineering  
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
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