Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation-Reference-Cited by-同舟云学术

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation

Published:2020 Issue: Volume: Page:216-226
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Author:

Yu Biting,Zhou Luping,Wang Lei,Yang Wanqi,Yang Ming,Bourgeat Pierrick,Fripp Jurgen

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59719-1_22

Reference16 articles.

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2. Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge. arXiv preprint arXiv:1811.02629 (2018)

3. Lecture Notes in Computer Science;S Banerjee,2019

4. Lecture Notes in Computer Science;DC Castro,2018

5. Lecture Notes in Computer Science;C Chen,2019

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