DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity

Tiarnán D L Keenan(Manchester Royal Eye Hospital), Benjamin Swaby, Emma Piliponis, Alisa T. Thavikulwat(National Institutes of Health), Jocelyn Hui Lin Goh(Singapore National Eye Center), Bryan Chan(National Institutes of Health), Christine Hill, Mukharram M. Bikbov(Ufa Eye Research Institute), Victor Cox, Pujan R. Patel, Evan B. Selzer, Boonkit Purt(Uniformed Services University of the Health Sciences), Arielle Lee, Michele Maiberger(Veterans Health Administration), Ching‐Yu Cheng(National University of Singapore), Geoffrey Broadhead(National Institutes of Health), Arnold Oshinsky(Veterans Health Administration), Chantal Cousineau-Krieger(National Institutes of Health), Alex Akman, Kristen J. Kent, Qingyu Chen(National Institutes of Health), Rachna Dhanjal, Mary K. Donovan, J. Corsini(Malcolm Grow Medical Clinic), David Josip Grašić(National Institutes of Health), Nadim S. Azar, Xiaofeng Lei(Agency for Science, Technology and Research), M. Teresa Magone(National Institutes of Health), David Peprah(National Institutes of Health), Maureen Farrell, Wesley Ha(National Institutes of Health), S. Bhandari(National Institutes of Health), Xinxing Xu(Agency for Science, Technology and Research), Marcus H. Colyer, William S. Azar, Yi Pin Ng(Agency for Science, Technology and Research), Jost B. Jonas(Heidelberg University), Zhiyong Lu(National Center for Biotechnology Information), Yih Chung Tham(National University of Singapore), William G. Gensheimer(Dartmouth College), Amisha Dave, Elvira Agrón(National Institutes of Health), Aman Kumar, Emily Y. Chew(National Institutes of Health), Priscilla Ajilore, Timothy Goblirsch, Yong Liu(Agency for Science, Technology and Research), Soo Young Shin(University of Virginia), Tania Lamba(Veterans Health Administration), Francisca Finkel
Ophthalmology
January 3, 2022
Cited by 73


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