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

Tiarnán D L Keenan, Qingyu Chen, Elvira Agrón, Yih Chung Tham, Jocelyn Hui Lin Goh, Xiaofeng Lei, Yi Pin Ng, Yong Liu, Xinxing Xu, Ching‐Yu Cheng, Mukharram M. Bikbov, Jost B. Jonas, S. Bhandari, Geoffrey Broadhead, Marcus H. Colyer, J. Corsini, Chantal Cousineau-Krieger, William G. Gensheimer, David Josip Grašić, Tania Lamba, M. Teresa Magone, Michele Maiberger, Arnold Oshinsky, Boonkit Purt, Soo Young Shin, Alisa T. Thavikulwat, Zhiyong Lu, Emily Y. Chew, Priscilla Ajilore, Alex Akman, Nadim S. Azar, William S. Azar, Bryan Chan, Victor Cox, Amisha Dave, Rachna Dhanjal, Mary K. Donovan, Maureen Farrell, Francisca Finkel, Timothy Goblirsch, Wesley Ha, Christine Hill, Aman Kumar, Kristen J. Kent, Arielle Lee, Pujan R. Patel, David Peprah, Emma Piliponis, Evan B. Selzer, Benjamin Swaby, S.M. Tenney, Alexander Zeleny

2022Ophthalmology73 citationsDOIOpen Access PDF

Topics & Concepts

MedicineOphthalmologySlit lampOptometryRetinal Imaging and AnalysisConnexins and lens biologyOphthalmology and Visual Impairment Studies
DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity | Litcius