One of the essential tasks in medical image analysis is segmentation and accurate detection
of borders. Lesion segmentation in skin images is an essential step in the computerized
detection of skin cancer. However, many of the state-of-the-art segmentation methods have
deficiencies in their border detection phase. In this paper, a new class of fully convolutional
network is proposed, with new dense pooling layers for segmentation of lesion regions in
skin images. This network leads to highly accurate segmentation of lesions on skin lesion …