Artificial Intelligence in Retinopathy of Prematurity Diagnosis

首页> 外文期刊>Progress in Artificial Intelligence >Artificial Intelligence in Retinopathy of Prematurity Diagnosis

【24h】

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

机译：性质诊断视网膜病变的人工智能

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area demonstrating significant intra- and interexpert subjectivity and disagreement. In addition to improved efficiencies for ROP screening, artificial intelligence may lead to automated, quantifiable, and objective diagnosis in ROP. This review focuses on the development of artificial intelligence for automated diagnosis of plus disease in ROP and highlights the clinical and technical challenges of both the development and implementation of artificial intelligence in the real world.

机译：早产儿（ROP）的视网膜病变是全球儿童失明的主要原因。 ROP的诊断是按区域，阶段和加疾病亚类化，每个区域都展示了显着的内部和Interexpert主观性和分歧。除了提高ROP筛查的效率外，人工智能可能导致ROP的自动化，可量化和客观诊断。本综述侧重于开发人工智能为ROP加上疾病的自动诊断，并突出了现实世界中人工智能发展和实施的临床和技术挑战。

著录项

来源
《Progress in Artificial Intelligence》 |2020年第2期|共10页
作者

展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
retinopathy of prematurity; artificial intelligence; machine learning; pediatric retina;

机译：早产的视网膜病变;人工智能;机器学习;儿科视网膜;

相似文献

外文文献
中文文献
专利

1. Artificial Intelligence in Retinopathy of Prematurity Diagnosis [J] . Progress in Artificial Intelligence . 2020,第2期

机译：性质诊断视网膜病变的人工智能
2. Artificial intelligence in retinopathy of prematurity: development of a fully automated deep convolutional neural network (DeepROP) for plus disease diagnosis [J] . Brown James M., Campbell J. Peter, Ostmo Susan, Investigative ophthalmology & visual science . 2018,第9期

机译：性能智力在早产儿：开发全自动深度卷积神经网络（DEEPROP）的加疾病诊断
3. Artificial intelligence in retinopathy of prematurity: clinical validation of a fully automated deep learning system (i-ROP DL) for plus disease diagnosis [J] . Campbell J. Peter, Brown James M., Ostmo Susan, Investigative ophthalmology & visual science . 2018,第9期

机译：治疗视网膜病变的人工智能：全自动深度学习系统（I-ROP DL）的临床验证加上疾病诊断
4. Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks [C] . Alexander Ding, Qilei Chen, Yu Cao, International Joint Conference on Neural Networks . 2020

机译：基于对象分割和卷积神经网络的早产儿视网膜病变诊断
5. Development of an automated screening tool for diabetic retinopathy using artificial intelligence [D] . McDonagh, Joanne. 2005

机译：使用人工智能开发糖尿病视网膜病变自动筛查工具
6. Artificial Intelligence in Retinopathy of Prematurity Diagnosis [O] . Brittni A. Scruggs, R. V. Paul Chan, Jayashree Kalpathy-Cramer, -1

机译：人工智能在视网膜病变中的早产诊断
7. Artificial Intelligence in Retinopathy of Prematurity Diagnosis [O] . Brittni A. Scruggs, R. V. Paul Chan, Jayashree Kalpathy-Cramer, 2020

机译：早产诊断视网膜病变中的人工智能

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

摘要

著录项

相似文献

相关主题

期刊订阅