Name
Title | ||
|---|---|---|
An automatic retinal vessel segmentation approach based on Convolutional Neural Networks |
Abstract | ||
|---|---|---|
•An end-to-end method based on CNN for retinal vessels segmentation;•A new multi-encoder-decoder model is proposed takingtwo inputs;•A sub-CNN is introduced to improve the extraction of vessels’ thin features;•Improving the result through the use of dice loss function. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115459 | Expert Systems with Applications |
Keywords | DocType | Volume |
Convolutional Neural Networks,Deep learning,Semantic image segmentation,Blood vessel detection | Journal | 184 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Chala | 1 | 0 | 0.34 |
| Benayad Nsiri | 2 | 8 | 4.65 |
| My Hachem El yousfi Alaoui | 3 | 0 | 0.34 |
| Abdelmajid Soulaymani | 4 | 0 | 0.34 |
| Abdelrhani Mokhtari | 5 | 0 | 0.34 |
| Brahim Benaji | 6 | 0 | 0.34 |