Automatic skin lesion segmentation with fully convolutional-deconvolutional networks

Abstract

This paper summarizes our method and validation results for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part I: Lesion Segmentation

ISIC2017 challenge, 4 pages

References in corpus (2)

• Conditional Random Fields as Recurrent Neural Networks
• Lesion Border Detection in Dermoscopy Images

Cited by in corpus (5)

• A Survey on Deep Learning for Skin Lesion Segmentation
• Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
• Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features
• Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition
• Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation