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Detection and Segmentation of Pelvic Bones Metastases in MRI Images for Patients With Prostate Cancer Based on Deep Learning

OBJECTIVE: To establish and evaluate the 3D U-Net model for automated segmentation and detection of pelvic bone metastases in patients with prostate cancer (PCa) using diffusion-weighted imaging (DWI) and T1 weighted imaging (T1WI) images. METHODS: The model consisted of two 3D U-Net algorithms. A t...

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Detalles Bibliográficos
Autores principales:	Liu, Xiang, Han, Chao, Cui, Yingpu, Xie, Tingting, Zhang, Xiaodong, Wang, Xiaoying
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666439/ https://www.ncbi.nlm.nih.gov/pubmed/34912716 http://dx.doi.org/10.3389/fonc.2021.773299

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