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The NL-SC Net for Skin Lesion Segmentation

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Pattern Recognition and Computer Vision (PRCV 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13021))

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Abstract

The problem of skin lesion segmentation remains to be a challenging task due to the low contrast of lesions, occlusions and varied sizes of foreground. The existing methods are unable to perform well on complex scenarios. In this paper, an accurate skin lesion segmentation method with Res-SC block and Res-NL block is proposed, which successfully increases the field of view by enhancing the feature representation and aggregating global information. Moreover, a novel loss function is designed, which allows us to focus more on the hard examples and further improve the accuracy rate. On the ISIC 2017 dataset, our method achieves very top performance with (AC of 0.93, DI of 0.88 and JA of 0.80).

Z. Chen–Undergraduate student and first author.

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Acknowledgment

This work is supported by the National Key Research and Development Program of China (No. 2020YFA0714103), the Innovation Capacity Construction Project of Jilin Province Development and Reform Commission (2019C053-3) and the Science & Technology Development Project of Jilin Province, China (20190302117GX).

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Ziming Chen

  2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China

    Shengsheng Wang

Authors
  1. Ziming Chen
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  2. Shengsheng Wang
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Corresponding author

Correspondence to Shengsheng Wang .

Editor information

Editors and Affiliations

  1. University of Science and Technology Beijing, Beijing, China

    Huimin Ma

  2. Chinese Academy of Sciences, Beijing, China

    Liang Wang

  3. Tsinghua University, Beijing, China

    Changshui Zhang

  4. Zhejiang University, Hangzhou, China

    Fei Wu

  5. Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  6. Hunan University, Changsha, China

    Yaonan Wang

  7. Sun Yat-Sen University, Guangzhou, Guangdong, China

    Jianhuang Lai

  8. Beijing Jiaotong University, Beijing, China

    Yao Zhao

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Chen, Z., Wang, S. (2021). The NL-SC Net for Skin Lesion Segmentation. In: Ma, H., et al. Pattern Recognition and Computer Vision. PRCV 2021. Lecture Notes in Computer Science(), vol 13021. Springer, Cham. https://doi.org/10.1007/978-3-030-88010-1_26

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  • DOI: https://doi.org/10.1007/978-3-030-88010-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88009-5

  • Online ISBN: 978-3-030-88010-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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