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...

Descripción completa

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

Internet

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

Ejemplares similares