Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data

Author:

Xu ZheORCID,Lu DonghuanORCID,Luo Jie,Zheng Yefeng,Tong Raymond Kai-yuORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

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3. NCI-ISBI 2013 Challenge: automated segmentation of prostate structures;Bloch;Cancer Imaging Arch.,2015

4. Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge;Campello;IEEE Trans. Med. Imaging,2021

5. Chen, X., Yuan, Y., Zeng, G., Wang, J., 2021b. Semi-supervised semantic segmentation with cross pseudo supervision. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2613–2622.

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