Name
Title | ||
|---|---|---|
Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion. |
Abstract | ||
|---|---|---|
•A new microaneurysm detection method is presented using local cross-section transformation and multi-feature fusion.•A simple and effective method for microaneurysm candidate extraction is proposed based on local minimum region extraction and block filtering.•A series of descriptors is proposed based on cross-section profile, local cross-section transformation, intensity and boundary, edge detector, and local saliency analysis. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cmpb.2020.105687 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Medical image analysis,Diabetic retinopathy,Microaneurysm detection,Local cross-section transformation,Fundus images | Journal | 196 |
ISSN | Citations | PageRank |
0169-2607 | 1 | 0.35 |
References | Authors | |
0 | 5 | |