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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Br J Ophthalmol
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados