Author:
Liu Xiaoqing,Ono Kenji,Bise Ryoma
Funder
Japan Society for the Promotion of Science
Japan Science and Technology Agency
Reference37 articles.
1. Automatic data augmentation via deep reinforcement learning for effective kidney tumor segmentation;Qin,2020
2. Mixing data augmentation with preserving foreground regions in medical image segmentation;Liu,2023
3. Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation;Kavur;Med. Image Anal.,2021
4. Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors;Kavur;Diagn. Interv. Radiol.,2020
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