Title | ||
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Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. |
Abstract | ||
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•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 Hua | 1 | 45 | 11.22 |
Thien Huynh-The | 2 | 94 | 21.54 |
Kiyoung Kim | 3 | 4 | 0.46 |
Seung-Young Yu | 4 | 5 | 0.81 |
Thuong Le-Tien | 5 | 46 | 10.64 |
Gwang Hoon Park | 6 | 4 | 0.46 |
Jae Hun Bang | 7 | 49 | 7.66 |
Wajahat Ali Khan | 8 | 203 | 24.18 |
Sung-Ho Bae | 9 | 25 | 5.61 |
Sungyoung Lee | 10 | 2932 | 279.41 |