Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging
Author:
Affiliation:
1. Universidad Carlos III de Madrid,Department of Signal Theory and Communications,Madrid,Spain
2. Karlsruhe Institute of Technology,Institute for Automation and Applied Informatics,Eggenstein-Leopoldshafen,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230659.pdf?arnumber=10230659
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5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention,2015
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