Search Results for author: Xiangzhu Zeng

Found 2 papers, 1 papers with code

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

1 code implementation16 Aug 2021 Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye

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 Augmentation Lesion Segmentation

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

no code implementations4 Mar 2019 Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye

Since unannotated data is generally abundant, it is desirable to use unannotated data to improve the segmentation performance for CNNs when limited annotated data is available.

Image Classification Ischemic Stroke Lesion Segmentation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.