CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data augmentation is a widely used strategy that improves the training of CNNs, and the design of the augmentation method for brain lesion segmentation is still an open problem.

Data and Resources

Cite this as

Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye (2024). Dataset: CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. https://doi.org/10.57702/apa5fjjr

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.1007/978-3-030-87193-2_19
Author Xinru Zhang
More Authors
Chenghao Liu
Ni Ou
Xiangzhu Zeng
Xiaoliang Xiong
Yizhou Yu
Zhiwen Liu
Chuyang Ye
Homepage https://github.com/ZhangxinruBIT/CarveMix.git