Name
Title | ||
|---|---|---|
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa. |
Abstract | ||
|---|---|---|
•New approach for segmenting pigment deposits in retinal fundus images.•Watershed based image partitioning in homogeneous regions.•Blind classification of regions as either pigment deposits or normal fundus. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compmedimag.2018.03.002 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Retina,Retinitis pigmentosa,Fundus images,Image analysis,Segmentation | Computer vision,Retinitis pigmentosa,Optical coherence tomography,Segmentation,Fundus (eye),Feature extraction,Optic disk,Pixel,Artificial intelligence,Retinal,Medicine | Journal |
Volume | ISSN | Citations |
66 | 0895-6111 | 1 |
PageRank | References | Authors |
0.36 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nadia Brancati | 1 | 29 | 7.76 |
| Maria Frucci | 2 | 190 | 26.24 |
| Diego Gragnaniello | 3 | 162 | 12.51 |
| Daniel Riccio | 4 | 170 | 23.60 |
| Valentina Di Iorio | 5 | 1 | 0.70 |
| Luigi Di Perna | 6 | 1 | 1.04 |