Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.
Journal:
Computers in biology and medicine
Published Date:
Nov 16, 2018
Abstract
BACKGROUND AND OBJECTIVE: Fully convolutional neural networks have been shown to perform well for automated skin lesion segmentation on digital dermatoscopic images. Our concept is that transferring encoder weights from a network trained on a classification task on images of the same domain may contain useful information for segmentation.