Name
Abstract | ||
|---|---|---|
This study explores neovascularisation and lesion detection in an integrated framework for gradation in diabetic retinopathy (DR). Imaging is assumed to be done from sub-sample measurements following compressed sensing. Blind estimation of the scale of the matched filter (MF) followed by fuzzy entropy maximisation is done for extraction and classification of the thick and the thin vessels. Mutual ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.1013 | IET Image Processing |
Keywords | Field | DocType |
biomedical optical imaging,blood vessels,compressed sensing,entropy,feature extraction,fuzzy set theory,image classification,matched filters,medical image processing,object detection | Diabetic retinopathy,Computer vision,Pattern recognition,Tortuosity,Fuzzy entropy,Artificial intelligence,Blob detection,Mutual information,Matched filter,Gradation,Compressed sensing,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 11 | 1751-9659 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudeshna Sil Kar | 1 | 17 | 3.58 |
| Santi P. Maity | 2 | 403 | 50.37 |