Federated learning for multi-center collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology

التفاصيل البيبلوغرافية
العنوان: Federated learning for multi-center collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology
المؤلفون: Hanif, Adam, Lu, Charles, Chang, Ken, Singh, Praveer, Coyner, Aaron S., Brown, James M., Ostmo, Susan, Chan, RV Paul, Rubin, Daniel, Chiang, Michael F., Kalpathy-Cramer, Jayashree, Campbell, J Peter, Chiang, Michael F., Ostmo, Susan, Kim, Sang Jin, Sonmez, Kemal, Campbell, J. Peter, Schelonka, Robert, Coyner, Aaron, Chan, RV Paul, Jonas, Karyn, Kolli, Bhavana, Horowitz, Jason, Coki, Osode, Eccles, Cheryl-Ann, Sarna, Leora, Orlin, Anton, Berrocal, Audina, Negron, Catherin, Denser, Kimberly, Cumming, Kristi, Osentoski, Tammy, Check, Tammy, Zajechowski, Mary, Lee, Thomas, Nagiel, Aaron, Kruger, Evan, McGovern, Kathryn, Contractor, Dilshad, Havunjian, Margaret, Simmons, Charles, Murthy, Raghu, Galvis, Sharon, NNP, Rotter, Jerome, Chen, Ida, Li, Xiaohui, Taylor, Kent, Roll, Kaye, Hartnett, Mary Elizabeth, Owen, Leah, Moshfeghi, Darius, Nunez, Mariana, Wennber-Smith, Zac, Kalpathy-Cramer, Jayashree, Erdogmus, Deniz, Ioannidis, Stratis, Martinez-Castellanos, Maria Ana, Salinas-Longoria, Samantha, Romero, Rafael, Arriola, Andrea, Olguin-Manriquez, Francisco, Meraz-Gutierrez, Miroslava, Dulanto-Reinoso, Carlos M., Montero-Mendoza, Cristina
المصدر: Ophthalmology Retina; 20220101, Issue: Preprints
مستخلص: To utilize a deep learning (DL) model trained via federated learning (FL), a method of collaborative training without sharing patient data, to delineate institutional differences in clinician diagnostic paradigms and disease epidemiology in retinopathy of prematurity (ROP).
قاعدة البيانات: Supplemental Index
الوصف
تدمد:24687219
24686530
DOI:10.1016/j.oret.2022.03.005