Automated detection of glaucoma using structural and non structural features.
about
Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs.Automatic CDR Estimation for Early Glaucoma Diagnosis.Decision Support System for Detection of Papilledema through Fundus Retinal Images.Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images.
P2860
Automated detection of glaucoma using structural and non structural features.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Automated detection of glaucoma using structural and non structural features.
@en
type
label
Automated detection of glaucoma using structural and non structural features.
@en
prefLabel
Automated detection of glaucoma using structural and non structural features.
@en
P2093
P2860
P1433
P1476
Automated detection of glaucoma using structural and non structural features.
@en
P2093
Amina Jameel
Anum A Salam
Imran Basit
M Usman Akram
Tehmina Khalil
P2860
P2888
P356
10.1186/S40064-016-3175-4
P577
2016-09-09T00:00:00Z
P6179
1005462524