Title
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.
Abstract
•A bimodal learning approach for Diabetic Retinopathy risk progression identification.•Fundus images are smoothly combined with Electronic Medical Record based attributes.•Trilogy of Skip-connection Deep Networks for efficiently learning the bimodality.•The study can help the ophthalmologist properly decide follow-up schedule.
Year
DOI
Venue
2019
10.1016/j.ijmedinf.2019.07.005
International Journal of Medical Informatics
Keywords
Field
DocType
Bimodal learning,Diabetic Retinopathy risk progression,EMR-based attributes,Fundus photography,Retinal fundus image,Trilogy of skip-connection deep networks
Modalities,Diabetic retinopathy,Data mining,Receiver operating characteristic,Fundus (eye),Exploit,Backpropagation,Cross-validation,Medicine,Fundus photography
Journal
Volume
ISSN
Citations 
132
1386-5056
4
PageRank 
References 
Authors
0.46
0
10
Name
Order
Citations
PageRank
Cam-Hao Hua14511.22
Thien Huynh-The29421.54
Kiyoung Kim340.46
Seung-Young Yu450.81
Thuong Le-Tien54610.64
Gwang Hoon Park640.46
Jae Hun Bang7497.66
Wajahat Ali Khan820324.18
Sung-Ho Bae9255.61
Sungyoung Lee102932279.41