ورقة مؤتمر
A Modified U-Net for Skin Lesion Segmentation
Bellal Hafhouf✉، Athmane Zitouni، Ahmed Chaouki Megherbi، Salim Sbaa
الملخّص
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...
التفاصيل
| اللغة الأصلية | English |
|---|---|
| المجلّة | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| رقم المقال | 9151511 |
| الصفحات | 225-228 |
| DOI | 10.1109/ccssp49278.2020.9151511 |
| حالة النشر | منشور — 2020 |