Annotation-efficient deep learning for automatic medical image segmentation

Annotation-efficient deep learning for automatic medical image segmentation

Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obtain in many clinical applications. Here, the authors introduce an open-source framework to handle imperfect training datasets.

Bibliographic Details
Main Authors: Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng
Format: Article
Language:English
Published: Nature Portfolio 2021-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-26216-9

Internet

https://doi.org/10.1038/s41467-021-26216-9

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