Name
Abstract | ||
|---|---|---|
In this study, we proposed the EncU-Net model based on U-Net architecture for the segmentation of lesions in dermoscopic images. The EncU-Net model has two encoder sections and one decoder part. The proposed model took two channels (green, L) obtained from two separate color spaces (RGB, LAB) as input images. We gave L channel images to the first encoder section and green channel images to the sec... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SIU53274.2021.9477853 | 2021 29th Signal Processing and Communications Applications Conference (SIU) |
Keywords | DocType | ISBN |
Image segmentation,Lesions,Skin,Convolution,Conferences,Biomedical imaging,Interpolation | Conference | 978-1-6654-3649-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saadet Aytaç Arpaci | 1 | 0 | 0.68 |
| Songül Varli | 2 | 0 | 0.68 |