IDDF2025-ABS-0218 Automated multiparametric pancreatic magnetic resonance images segmentation and fat quantification using transunet

Authors

Chileka Chiyanika (ORCID: https://orcid.org/0000-0002-4744-1714)
Yuxi Pang (ORCID: https://orcid.org/0000-0001-5039-0236)
Raymond S. Tang (ORCID: https://orcid.org/0000-0002-2433-8036)
Chiu‐Wing Winnie Chu (ORCID: https://orcid.org/0000-0003-4962-4132)
Guang Ren

Institutions

Hong Kong Polytechnic University (HK)
Chinese University of Hong Kong (HK)

Publication Details

Published: 2025-07-01
DOI: https://doi.org/10.1136/gutjnl-2025-iddf.93
Primary Topic: Artificial Intelligence in Healthcare
Type: article
Field-Weighted Citation Impact: 0.00

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article

IDDF2025-ABS-0218 Automated multiparametric pancreatic magnetic resonance images segmentation and fat quantification using transunet

Chileka Chiyanika, Yuxi Pang, Raymond S. Tang, Chiu‐Wing Winnie Chu et al.

Jul 1, 2025

Artificial Intelligence in Healthcare

article

IDDF2025-ABS-0218 Automated multiparametric pancreatic magnetic resonance images segmentation and fat quantification using transunet

Chileka Chiyanika, Yuxi Pang, Raymond S. Tang, Chiu‐Wing Winnie Chu, Guang Ren

July 1, 2025article en

Abstract

No abstract available for this paper.

Hong Kong Polytechnic University (HK), Chinese University of Hong Kong (HK)

Zero hunger

Openalex Percentile: Top 81%

Artificial Intelligence in Healthcare

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IDDF2025-ABS-0218 Automated multiparametric pancreatic magnetic resonance images segmentation and fat quantification using transunet — Chileka Chiyanika, Yuxi Pang, et al. · (2025) | TGRS Research Map | TGRS