Magnetic Resonance Imaging Image Feature Analysis Algorithm under Convolutional Neural Network in the Diagnosis and Risk Stratification of Prostate Cancer

This work aimed to explore the accuracy of magnetic resonance imaging (MRI) images based on the convolutional neural network (CNN) algorithm in the diagnosis of prostate cancer patients and tumor risk grading. A total of 89 patients with prostate cancer and benign prostatic hyperplasia diagnosed by...

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Detalles Bibliográficos
Autores principales: Gao, Weijun, Zhang, Peibo, Wang, Hui, Tuo, Pengfei, Li, Zhiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643240/
https://www.ncbi.nlm.nih.gov/pubmed/34873435
http://dx.doi.org/10.1155/2021/1034661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643240/
https://www.ncbi.nlm.nih.gov/pubmed/34873435
http://dx.doi.org/10.1155/2021/1034661

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