Yan, Wen https://orcid.org/0000-0002-3962-5994
Hu, Yipeng https://orcid.org/0000-0003-4902-0486
Yang, Qianye https://orcid.org/0000-0003-4401-5311
Fu, Yunguan https://orcid.org/0000-0002-1184-7421
Syer, Tom https://orcid.org/0000-0001-9594-9638
Min, Zhe https://orcid.org/0000-0002-8903-1561
Punwani, Shonit https://orcid.org/0000-0002-1014-0870
Emberton, Mark https://orcid.org/0000-0003-4230-0338
Barratt, Dean C https://orcid.org/0000-0003-2916-655X
Cho, Carmen C M
Chiu, Bernard https://orcid.org/0000-0001-5237-2410
Funding for this research was provided by:
International Alliance for Cancer Early Detection (C28070/A30912)
University of Manchester
Research Grant Council of Hong Kong Special Administrative Region, China (General Research Fund/CityU 11205421)
Canary Center at Standford University
University of Cambridge
OHSU Knight Cancer Institute
University College London
Article Title: A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI
Journal Title: Physics in Medicine & Biology
Article Type: paper
Copyright Information: © 2025 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd
Publication dates
Date Received: 2024-11-18
Date Accepted: 2025-03-17
Online publication date: 2025-04-22