Name
Title | ||
|---|---|---|
Detection of neovascularization in retinal images using mutual information maximization. |
Abstract | ||
|---|---|---|
•Automated neovascularization detection using mutual information maximization.•Two stages: thin vessel extraction followed by abnormal vessel detection.•Use of two features (vessel density and tortuosity) leads to reduced complexity.•Improved performance with 97.45% sensitivity and 96.41% average accuracy. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compeleceng.2017.05.012 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Vessel extraction,Curvelet transform,Matched filter,Mutual information,Neovascularization | Biomedical engineering,Computer science,Computer-aided diagnosis,Real-time computing,Artificial intelligence,Retinal,Thresholding,Blood vessel,Diabetic retinopathy,Computer vision,Retina,Mutual information,Neovascularization | Journal |
Volume | ISSN | Citations |
62 | 0045-7906 | 2 |
PageRank | References | Authors |
0.37 | 16 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudeshna Sil Kar | 1 | 17 | 3.58 |
| Santi P. Maity | 2 | 403 | 50.37 |