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ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network

Computer Vision and Pattern Recognition 2018-07-25 v1
Authors: Ngoc-Quang Nguyen
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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.

Keywords

encoder-decoder architecture image segmentation medical image analysis

Cite

@article{arxiv.1807.09083,
  title  = {ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network},
  author = {Ngoc-Quang Nguyen},
  journal= {arXiv preprint arXiv:1807.09083},
  year   = {2018}
}

Comments

ISIC 2018

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