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

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

ObjectiveTo 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.MethodsThe model consisted of two 3D U-Net algorithms. A total...

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Autores principales: Xiang Liu, Chao Han, Yingpu Cui, Tingting Xie, Xiaodong Zhang, Xiaoying Wang
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
pelvic bones
metastases
prostate cancer
deep learning
magnetic resonance imaging
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Acceso en línea:https://doaj.org/article/b1833943eded433db781e99fd80bb7e3
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https://doaj.org/article/b1833943eded433db781e99fd80bb7e3

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