Communication
A Modified U-Net for Skin Lesion Segmentation
Bellal Hafhouf✉, Athmane Zitouni, Ahmed Chaouki Megherbi, Salim Sbaa
Résumé
In this paper, for skin lesion segmentation, we propose an encoder-decoder structure based on U-Net, combining dilated convolution and pyramid pooling module (PPM). The dilated convolution computes the feature maps with a high spatial resolution instead to down-sampling feature maps, and the aim of pyramid pooling module is to obtain more contextual information (multi-scale context information wit...
Détails
| Langue originale | English |
|---|---|
| Revue | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Numéro d’article | 9151511 |
| Pages | 225-228 |
| DOI | 10.1109/ccssp49278.2020.9151511 |
| Statut de publication | Publié — 2020 |