FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning
Author:
Affiliation:
1. University of Oxford
2. University College London
3. Radboud University Nijmegen Medical Centre
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761453.pdf?arnumber=9761453
Reference16 articles.
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4. USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
5. Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
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