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Directional Connectivity-based Segmentation of Medical Images.

Publication ,  Journal Article
Yang, Z; Farsiu, S
Published in: Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
June 2023

Anatomical consistency in biomarker segmentation is crucial for many medical image analysis tasks. A promising paradigm for achieving anatomically consistent segmentation via deep networks is incorporating pixel connectivity, a basic concept in digital topology, to model inter-pixel relationships. However, previous works on connectivity modeling have ignored the rich channel-wise directional information in the latent space. In this work, we demonstrate that effective disentanglement of directional sub-space from the shared latent space can significantly enhance the feature representation in the connectivity-based network. To this end, we propose a directional connectivity modeling scheme for segmentation that decouples, tracks, and utilizes the directional information across the network. Experiments on various public medical image segmentation benchmarks show the effectiveness of our model as compared to the state-of-the-art methods. Code is available at https://github.com/Zyun-Y/DconnNet.

Duke Scholars

Published In

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

EISSN

2575-7075

ISSN

1063-6919

Publication Date

June 2023

Volume

2023

Start / End Page

11525 / 11535
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yang, Z., & Farsiu, S. (2023). Directional Connectivity-based Segmentation of Medical Images. Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2023, 11525–11535. https://doi.org/10.1109/cvpr52729.2023.01109
Yang, Ziyun, and Sina Farsiu. “Directional Connectivity-based Segmentation of Medical Images.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023 (June 2023): 11525–35. https://doi.org/10.1109/cvpr52729.2023.01109.
Yang Z, Farsiu S. Directional Connectivity-based Segmentation of Medical Images. Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2023 Jun;2023:11525–35.
Yang, Ziyun, and Sina Farsiu. “Directional Connectivity-based Segmentation of Medical Images.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2023, June 2023, pp. 11525–35. Epmc, doi:10.1109/cvpr52729.2023.01109.
Yang Z, Farsiu S. Directional Connectivity-based Segmentation of Medical Images. Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2023 Jun;2023:11525–11535.

Published In

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

EISSN

2575-7075

ISSN

1063-6919

Publication Date

June 2023

Volume

2023

Start / End Page

11525 / 11535