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With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving.
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
Elizabeth R DeLong, David M DeLong, and Daniel L Clarke-Pearson · 1988
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Ridge-based vessel segmentation in color images of the retina
Joes Staal, Michael D Abràmoff, Meindert Niemeijer, Max A Viergever, and Bram Van Ginneken · 2004
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Diaretdb0-standard diabetic retinopathy database, calibration level 0. imageret project 2007
Tomi Kauppi, Valentina Kalesnykiene, Joni-Kristian Kamarainen, Lasse Lensu, Iiris Sorri, Juhani Pietilä, Heikki Kälviäinen, and Hannu Uusitalo · 2007
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Diaretdb1—standard diabetic retinopathy database calibration level 1, 2007
Tomi Kauppi, Valentina Kalesnykiene, Joni-Kristian Kamarainen, Lasse Lensu, Iiris Sorri, A Raninen, R Voutilainen, J Pietilä, H Kälviäinen, and H Uusitalo · 2007
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Identification of the optic nerve head with genetic algorithms
Enrique J. Carmona, Mariano Rincón, Julián Garcí a Feijoó, and José M. Martínez-de-la Casa · 2008
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Active learning: An introduction
Richard M Felder and Rebecca Brent · 2009
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Origa-light: An online retinal fundus image database for glaucoma analysis and research
Zhuo Zhang, Feng Shou Yin, Jiang Liu, Wing Kee Wong, Ngan Meng Tan, Beng Hai Lee, Jun Cheng, and Tien Yin Wong · 2010
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Rim-one: An open retinal image database for optic nerve evaluation
Francisco Fumero, Silvia Alayón, José L Sanchez, Jose Sigut, and M Gonzalez-Hernandez · 2011
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Automated “disease/no disease” grading of age-related macular degeneration by an image mining approach
Yalin Zheng, Mohd Hanafi Ahmad Hijazi, and Frans Coenen · 2012
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Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
Luca Giancardo, Fabrice Meriaudeau, Thomas P Karnowski, Yaqin Li, Seema Garg, Kenneth W Tobin Jr, and Edward Chaum · 2012
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Robust vessel segmentation in fundus images
Attila Budai, Rüdiger Bock, Andreas Maier, Joachim Hornegger, and Georg Michelson · 2013
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The stare project, structured analysis of the retina database
Michael Goldbaum · 2013
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Drishti-gs: Retinal image dataset for optic nerve head (onh) segmentation
Jayanthi Sivaswamy, SR Krishnadas, Gopal Datt Joshi, Madhulika Jain, and A Ujjwaft Syed Tabish · 2014
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Feedback on a publicly distributed image database: the messidor database
Etienne Decencière, Xiwei Zhang, Guy Cazuguel, Bruno Lay, Béatrice Cochener, Caroline Trone, Philippe Gain, Richard Ordonez, Pascale Massin, Ali Erginay, et al · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Fast implementation of delong’s algorithm for comparing the areas under correlated receiver operating characteristic curves
Xu Sun and Weichao Xu · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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The prevalence and types of glaucoma in an urban chinese population: the singapore chinese eye study
Mani Baskaran, Reuben C Foo, Ching-Yu Cheng, Arun K Narayanaswamy, Ying-Feng Zheng, Renyi Wu, Seang-Mei Saw, Paul J Foster, Tien-Yin Wong, and Tin Aung · 2015
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Asia pacific glaucoma guidelines
T Aung and J Crowston · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger · 2017
Cited alongside, same era.
Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Cited alongside, same era.
Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images
Jose Sigut, Omar Nunez, Francisco Fumero, Marta Gonzalez, and Rafael Arnay · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Efficacy of a deep learning system for detecting glaucomatous optic neuropathy based on color fundus photographs
Zhixi Li, Yifan He, Stuart Keel, Wei Meng, Robert T Chang, and Mingguang He · 2018
Cited alongside, same era.
Joint optic disc and cup segmentation based on multi-label deep network and polar transformation
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Ruben Hemelings, Bart Elen, Joao Barbosa-Breda, Sophie Lemmens, Maarten Meire, Sayeh Pourjavan, Evelien Vandewalle, Sara Van de Veire, Matthew B Blaschko, Patrick De Boever, et al · 2020
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Leveraging undiagnosed data for glaucoma classification with teacher-student learning
Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, and Yefeng Zheng · 2020
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Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, JoonHo Lee, et al · 2020
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AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, et al · 2020
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Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao · 2018
Cited alongside, same era.
Indian diabetic retinopathy image dataset (idrid): a database for diabetic retinopathy screening research
Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, and Fabrice Meriaudeau · 2018
Cited alongside, same era.
Retinal fundus images for glaucoma analysis: the riga dataset
Ahmed Almazroa, Sami Alodhayb, Essameldin Osman, Eslam Ramadan, Mohammed Hummadi, Mohammed Dlaim, Muhannad Alkatee, Kaamran Raahemifar, and Vasudevan Lakshminarayanan · 2018
Cited alongside, same era.
Learning to adapt structured output space for semantic segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, and Manmohan Chandraker · 2018
Cited alongside, same era.
A pixel-wise distance regression approach for joint retinal optical disc and fovea detection
Maria Ines Meyer, Adrian Galdran, Ana Maria Mendonça, and Aurélio Campilho · 2018
Cited alongside, same era.
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, and Sheraz Ahmed · 2019
Cited alongside, same era.
Jointrcnn: a region-based convolutional neural network for optic disc and cup segmentation
Yuming Jiang, Lixin Duan, Jun Cheng, Zaiwang Gu, Hu Xia, Huazhu Fu, Changsheng Li, and Jiang Liu · 2019
Cited alongside, same era.
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao · 2020
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Test-time training with self-supervision for generalization under distribution shifts
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, and Moritz Hardt · 2020
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A mechanism-driven algorithm for artificial intelligence in ophthalmology: Understanding glaucoma risk factors in the singapore eye diseases study
Giovanna Guidoboni, Rachel Shujuan Chong, Nicholas Marazzi, Miao Li Chee, Jessica Wellington, Emily Lichtenegger, Ching-Yu Cheng, and Alon Harris · 2020
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Cspnet: A new backbone that can enhance learning capability of cnn
Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, and I-Hau Yeh · 2020
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Development and validation of deep learning models for screening multiple abnormal findings in retinal fundus images
Jaemin Son, Joo Young Shin, Hoon Dong Kim, Kyu-Hwan Jung, Kyu Hyung Park, and Sang Jun Park · 2020
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Resnest: Split-attention networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R Manmatha, Mu Li, and Snola Alexander · 2020
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Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
Ling-Ping Cen, Jie Ji, Jian-Wei Lin, Si-Tong Ju, Hong-Jie Lin, Tai-Ping Li, Yun Wang, Jian-Feng Yang, Yu-Fen Liu, Shaoying Tan, et al · 2021
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Application of an anomaly detection model to screen for ocular diseases using color retinal fundus images: Design and evaluation study
Yong Han, Weiming Li, Mengmeng Liu, Zhiyuan Wu, Feng Zhang, Xiangtong Liu, Lixin Tao, Xia Li, and Xiuhua Guo · 2021
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Drnet: Segmentation and localization of optic disc and fovea from diabetic retinopathy image
Md Kamrul Hasan, Md Ashraful Alam, Md Toufick E Elahi, Shidhartho Roy, and Robert Martí · 2021
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Source-free domain adaptive fundus image segmentation with denoised pseudo-labeling
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, and Pheng-Ann Heng · 2021
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Rotterdam eyepacs airogs train set, December 2021
Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, Bram van Ginneken, Hans G. Lemij, and Clara I. Sánchez · 2021
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Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging
Vikash Singh, Michael Pencina, Andrew J Einstein, Joanna X Liang, Daniel S Berman, and Piotr Slomka · 2021
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Transformers in vision: A survey
Salman Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, and Mubarak Shah · 2021
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Few-shot domain adaptation with polymorphic transformers
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel SW Ting, and Rick Siow Mong Goh · 2021
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Cafr-cnn: coarse-to-fine adaptive faster r-cnn for cross-domain joint optic disc and cup segmentation
Yanfei Guo, Yanjun Peng, and Bin Zhang · 2021
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Adam challenge: Detecting age-related macular degeneration from fundus images
Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenole Quellec, Sarah Matta, et al · 2022
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A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
Dongmei Sun, Thanh M. Nguyen, Robert J. Allaway, Jelai Wang, Verena Chung, Thomas V. Yu, Michael Mason, Isaac Dimitrovsky, Lars Ericson, Hongyang Li, et al · 2022
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