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Joint Optic Disc and Optic Cup Segmentation Based on New Skip-Link Attention Guidance Network and Polar Transformation

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Neural Information Processing (ICONIP 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12532))

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Abstract

The challenge faced by the joint optic disc and optic cup segmentation is how to learn an efficient segmentation model with good performance. This paper proposes a method based on a new type of Skip-Link attention guidance network and polar transformation, called Skip-Link Attention Guidance Network (SLAG-CNN) model, which implements the simultaneous segmentation of the optic disc and optic cup. In SLAG-CNN, the Skip-Link Attention Gate (SLAG) module was first introduced, which was used as a sensitive extension path to transfer the semantic information and location information of the previous feature map. Each SLAG module of the SLAG-CNN model combines channel attention and spatial attention, and adds Skip-Link to form a new attention module to enhance the segmentation results. Secondly, multi-scale input images are constructed by spatial pyramid pooling. Finally, a weighted cross-entropy loss function is used at each side output layer to sum up to calculate the total model loss. On the DRISHTI-GS1 dataset, the joint optic disc and optic cup segmentation task proves the effectiveness of our proposed method.

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Authors and Affiliations

  1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China

    Yun Jiang, Jing Gao & Falin Wang

Authors
  1. Yun Jiang
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  2. Jing Gao
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  3. Falin Wang
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Corresponding author

Correspondence to Jing Gao .

Editor information

Editors and Affiliations

  1. Department of AI, Ping An Life, Shenzhen, China

    Haiqin Yang

  2. Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Kitsuchart Pasupa

  3. City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi-Sing Leung

  4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    James T. Kwok

  5. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

    Jonathan H. Chan

  6. The Chinese University of Hong Kong, New Territories, Hong Kong

    Irwin King

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Jiang, Y., Gao, J., Wang, F. (2020). Joint Optic Disc and Optic Cup Segmentation Based on New Skip-Link Attention Guidance Network and Polar Transformation. In: Yang, H., Pasupa, K., Leung, A.CS., Kwok, J.T., Chan, J.H., King, I. (eds) Neural Information Processing. ICONIP 2020. Lecture Notes in Computer Science(), vol 12532. Springer, Cham. https://doi.org/10.1007/978-3-030-63830-6_34

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  • DOI: https://doi.org/10.1007/978-3-030-63830-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63829-0

  • Online ISBN: 978-3-030-63830-6

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