Automated detection of early-stage ROP using a deep convolutional neural network

BACKGROUND/AIM: To automatically detect and classify the early stages of retinopathy of prematurity (ROP) using a deep convolutional neural network (CNN). METHODS: This retrospective cross-sectional study was conducted in a referral medical centre in Taiwan. Only premature infants with no ROP, stage...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Br J Ophthalmol
Главные авторы: Huang, Yo-Ping, Basanta, Haobijam, Yu-Chuan Kang, Eugene, Chen, Kuan-Jen, Hwang, Yih-Shiou, Lai, Chi-Chun, Campbell, John P, Chiang, Michael F, Paul Chan, Robison Vernon, Kusaka, Shunji, Fukushima, Yoko, Wu, Wei-Chi
Формат: Artigo
Язык:Inglês
Опубликовано: 2020
Предметы:
Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7900257/
https://ncbi.nlm.nih.gov/pubmed/32830123
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bjophthalmol-2020-316526
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы