期刊论文、会议论文

Cui, Hui

英文

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

0589-1019

2017

2017

3529-3532

39th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY

JUL 11-15, 2017

SOUTH KOREA

[Wang, Xiuying;Tang, Wensi;Cui, Hui;Feng, David Dagan] Univ Sydney, Sch Informat Technol, Biomed & Multimedia Informat Technol BMIT Res Grp, Sydney, NSW, Australia.^[Zeng, Shan] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.^[Feng, David Dagan] Shanghai Jiao Tong Univ, Med X Res Inst, Shanghai, Peoples R China.^[Fulham, Michael] Univ Sydney, Fac Med, Sydney, NSW, Australia.^[Fulham, Michael] Royal Prince Alfred Hosp, Dept PET & Nucl Med, Camperdown, NSW, Australia.

IEEE Engn Med & Biol Soc, PubMed, MEDLINE, Korean Soc Med & Biol Engn

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-2809-2

10.1109/EMBC.2017.8037618

本校为其他机构

Prostate delineation from MRI images is a prolonged challenging issue partially due to appearance variations across patients and disease progression. To address these challenges, our proposed collaborative method takes into account the computed multiple label-relevance maps as multiple views for learning the optimal boundary delineation. In our method, we firstly extracted multiple label-relevance maps to represent the affinities between each unlabeled pixel to the pre-defined labels to avoid the selection of handcrafted features. Then these ma...