AI-based AMD Analysis: A Review of Recent Progress

被引：2
|
作者：
Burlina, P. [1 ]
Joshi, N. [1 ]
Bressler, N. M. [2 ]
机构：
[1] Johns Hopkins Univ, Appl Phys Lab, Laurel, MD 20723 USA
[2] Johns Hopkins Univ, Sch Med, Wilmer Eye Inst, Baltimore, MD 21205 USA
来源：
COMPUTER VISION - ACCV 2018 WORKSHOPS | 2019年 / 11367卷
关键词：
AMD diagnostics; Retinal diseases; MACULAR DEGENERATION; GEOGRAPHIC ATROPHY; FEATURES; IMAGES;
D O I：
10.1007/978-3-030-21074-8_25
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Since 2016 much progress has been made in the automatic analysis of age related macular degeneration (AMD). Much of it was dedicated to the classification of referable vs. non-referable AMD, fine-grained AMD severity classification, and assessing the five-year risk of progression to the severe form of AMD. Here we review these developments, the main tasks that were addressed, and the main methods that were carried out.
引用
收藏
页码：303 / 308
页数：6
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