Data augmentation based on multiple oversampling fusion for medical image segmentation

A high-performance medical image segmentation model based on deep learning depends on the availability of large amounts of annotated training data. However, it is not trivial to obtain sufficient annotated medical images. Generally, the small size of most tissue lesions, e.g., pulmonary nodules and...

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Detalles Bibliográficos
Autores principales: Wu, Liangsheng, Zhuang, Jiajun, Chen, Weizhao, Tang, Yu, Hou, Chaojun, Li, Chentong, Zhong, Zhenyu, Luo, Shaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578635/
https://www.ncbi.nlm.nih.gov/pubmed/36256637
http://dx.doi.org/10.1371/journal.pone.0274522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578635/
https://www.ncbi.nlm.nih.gov/pubmed/36256637
http://dx.doi.org/10.1371/journal.pone.0274522

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