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Université Echahid Hamma Lakhdar d’El OuedPortail de la recherche
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 originaleEnglish
Revue2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)
Numéro d’article9151511
Pages225-228
DOI10.1109/ccssp49278.2020.9151511
Statut de publicationPublié — 2020