Development and acceptability validation of a deep learning-based tool for whole-prostate segmentation on multiparametric MRI: a multicenter study

BACKGROUND: Accurate whole prostate segmentation on magnetic resonance imaging (MRI) is important in the management of prostatic diseases. In this multicenter study, we aimed to develop and evaluate a clinically applicable deep learning-based tool for automatic whole prostate segmentation on T2-weig...

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Detalles Bibliográficos
Autores principales: Xu, Lili, Zhang, Gumuyang, Zhang, Daming, Zhang, Jiahui, Zhang, Xiaoxiao, Bai, Xin, Chen, Li, Jin, Ru, Mao, Li, Li, Xiuli, Sun, Hao, Jin, Zhengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167431/
https://www.ncbi.nlm.nih.gov/pubmed/37179941
http://dx.doi.org/10.21037/qims-22-1068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167431/
https://www.ncbi.nlm.nih.gov/pubmed/37179941
http://dx.doi.org/10.21037/qims-22-1068

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