ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network

2018/07/24 by Ngoc-Quang Nguyen, Nguyen, Ngoc-Quang
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #Nonmelanoma Skin Cancer Studies

paper · pdf · doi:10.48550/arxiv.1807.09083

openalex publication_date 2018/07/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper summarizes our method and validation results for part 1 of the ISBI Challenge 2018. Our algorithm makes use of deep encoder-decoder network and novel skin lesion data augmentation to segment the challenge objective. Besides, we also propose an effective testing strategy by applying multi-model comparison.

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