Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation-Reference-Cited by-同舟云学术

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation

Published:2019 Issue: Volume: Page:228-236
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bae Woong,Lee Seungho,Lee Yeha,Park Beomhee,Chung Minki,Jung Kyu-Hwan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-32245-8_26

Reference12 articles.

1. Bender, G., Kindermans, P.J., Zoph, B., Vasudevan, V., Le, Q.: Understanding and simplifying one-shot architecture search. In: International Conference on Machine Learning, pp. 549–558 (2018)

2. Lecture Notes in Computer Science;L-C Chen,2018

3. Lecture Notes in Computer Science;Q Dou,2016

4. Lecture Notes in Computer Science;M Drozdzal,2016

5. Isensee, F., et al.: nnU-Net: Self-adapting framework for u-net-based medical image segmentation. arXiv preprint arXiv:1809.10486 (2018)

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