Annotation-efficient deep learning for automatic medical image segmentation

Automatic medical image segmentation plays a critical role in scientific research and medical care. 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, we in...

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Detalles Bibliográficos
Autores principales: Wang, Shanshan, Li, Cheng, Wang, Rongpin, Liu, Zaiyi, Wang, Meiyun, Tan, Hongna, Wu, Yaping, Liu, Xinfeng, Sun, Hui, Yang, Rui, Liu, Xin, Chen, Jie, Zhou, Huihui, Ben Ayed, Ismail, Zheng, Hairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501087/
https://www.ncbi.nlm.nih.gov/pubmed/34625565
http://dx.doi.org/10.1038/s41467-021-26216-9

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