mlsanityData to 14 Oct 2026

A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images

arXiv 1809.03917 ↗First posted 11 Sep 2018cs.CVcited by 1

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Abstract (arXiv)

This report summarises our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation. We present a two-stage method for lesion segmentation with optimised training method and ensemble post-process. Our method achieves state-of-the-art performance on lesion segmentation and we win the first place in ISIC 2018 task1.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 11 Sep 2018.

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