Deep learning-based automatic segmentation for size and volumetric measurement of breast cancer on magnetic resonance imaging

PURPOSE: In clinical work, accurately measuring the volume and the size of breast cancer is significant to develop a treatment plan. However, it is time-consuming, and inter- and intra-observer variations among radiologists exist. The purpose of this study was to assess the performance of a Res-UNet...

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Detalles Bibliográficos
Autores principales: Yue, Wenyi, Zhang, Hongtao, Zhou, Juan, Li, Guang, Tang, Zhe, Sun, Zeyu, Cai, Jianming, Tian, Ning, Gao, Shen, Dong, Jinghui, Liu, Yuan, Bai, Xu, Sheng, Fugeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404224/
https://www.ncbi.nlm.nih.gov/pubmed/36033453
http://dx.doi.org/10.3389/fonc.2022.984626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404224/
https://www.ncbi.nlm.nih.gov/pubmed/36033453
http://dx.doi.org/10.3389/fonc.2022.984626

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