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D-GaussianNet: Adaptive Distorted Gaussian Matched Filter with Convolutional Neural Network for Retinal Vessel Segmentation

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Geometry and Vision (ISGV 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1386))

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Abstract

Automating retinal vessel segmentation is a primary element of computer-aided diagnostic systems for many retinal diseases. It facilitates the inspection of shape, width, tortuosity, and other blood vessel characteristics. In this paper, a new method that incorporates Distorted Gaussian Matched Filters (D-GMFs) with adaptive parameters as part of a Deep Convolutional Architecture is proposed. The D-GaussianNet includes D-GMF units, a variant of the Gaussian Matched Filter that considers curvature, placed at the beginning and end of the network to implicitly indicate that spatial attention should focus on curvilinear structures in the image. Experimental results on datasets DRIVE, STARE, and CHASE show state-of-the-art performance with an accuracy of 0.9565, 0.9647, and 0.9609 and a F1-score of 0.8233, 0.8141, and 0.8077, respectively.

This work is partially supported by CONACyT, Mexico (Doctoral Studies Grants no. 626155 and 626154).

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Author information

Authors and Affiliations

  1. Center for Research in Mathematics (CIMAT), 36000, Guanajuato, GTO, Mexico

    Dora E. Alvarado-Carrillo & Oscar S. Dalmau-Cedeño

  2. University of Guanajuato, 36885, Salamanca, GTO, Mexico

    Emmanuel Ovalle-Magallanes

Authors
  1. Dora E. Alvarado-Carrillo
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  2. Emmanuel Ovalle-Magallanes
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  3. Oscar S. Dalmau-Cedeño
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Corresponding author

Correspondence to Dora E. Alvarado-Carrillo .

Editor information

Editors and Affiliations

  1. Auckland University of Technology, Auckland, New Zealand

    Minh Nguyen

  2. Auckland University of Technology, Auckland, New Zealand

    Wei Qi Yan

  3. Auckland Bioengineering House, Auckland, New Zealand

    Harvey Ho

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Alvarado-Carrillo, D.E., Ovalle-Magallanes, E., Dalmau-Cedeño, O.S. (2021). D-GaussianNet: Adaptive Distorted Gaussian Matched Filter with Convolutional Neural Network for Retinal Vessel Segmentation. In: Nguyen, M., Yan, W.Q., Ho, H. (eds) Geometry and Vision. ISGV 2021. Communications in Computer and Information Science, vol 1386. Springer, Cham. https://doi.org/10.1007/978-3-030-72073-5_29

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  • DOI: https://doi.org/10.1007/978-3-030-72073-5_29

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