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Multi-Stage Attention-Unet for Wireless Capsule Endoscopy Image Bleeding Area Segmentation

Li, Sizhe, Zhang, Jiawei, Ruan, Chunyang and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2020) Multi-Stage Attention-Unet for Wireless Capsule Endoscopy Image Bleeding Area Segmentation. In: 2019 IEEE International Conference on Bioinformatics and Biomedicine, 18 Nov 2019 - 21 Nov 2019, San Diego, USA.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781728118673
Uncontrolled Keywords: wireless capsule endoscopy; WCE; gastrointestinal tract; GI; n intersection over union; deep learning; attention blocks; attention-Unet
Subjects: Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 13 Oct 2020 22:23
Last Modified: 13 Oct 2020 22:23
URI: http://vuir.vu.edu.au/id/eprint/41345
DOI: https://doi.org/10.1109/BIBM47256.2019.8983292
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Citations in Scopus: 1 - View on Scopus

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