Name
Abstract | ||
|---|---|---|
Objective: Diabetic retinopathy (DR) is characterized by the progressive deterioration of retina with the appearance of different types of lesions that include micro-aneurysms, hemorrhages, exudates, etc. Detection of these lesions plays a significant role for early diagnosis of DR. Methods: To this aim, this paper proposes a novel and automated lesion detection scheme, which consists of the four ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2707578 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Lesions,Blood vessels,Biomedical imaging,Retina,Image edge detection,Kernel,Shape | Diabetic retinopathy,Computer vision,Computer science,Retina,Optic disc,Artificial intelligence,Blob detection,Pixel,Matched filter,Curvelet,Edge enhancement | Journal |
Volume | Issue | ISSN |
65 | 3 | 0018-9294 |
Citations | PageRank | References |
4 | 0.40 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudeshna Sil Kar | 1 | 17 | 3.58 |
| Santi P. Maity | 2 | 403 | 50.37 |