Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional, diagnostic study

BACKGROUND: Identifying patients with clinically significant prostate cancer (csPCa) before biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic performance of traditional transrectal ultrasound (TRUS) for csPCa is relatively limited. This study was aimed to develop...

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Detalles Bibliográficos
Autores principales: Sun, Yi-Kang, Zhou, Bo-Yang, Miao, Yao, Shi, Yi-Lei, Xu, Shi-Hao, Wu, Dao-Ming, Zhang, Lei, Xu, Guang, Wu, Ting-Fan, Wang, Li-Fan, Yin, Hao-Hao, Ye, Xin, Lu, Dan, Han, Hong, Xiang, Li-Hua, Zhu, Xiao-Xiang, Zhao, Chong-Ke, Xu, Hui-Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276260/
https://www.ncbi.nlm.nih.gov/pubmed/37333662
http://dx.doi.org/10.1016/j.eclinm.2023.102027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276260/
https://www.ncbi.nlm.nih.gov/pubmed/37333662
http://dx.doi.org/10.1016/j.eclinm.2023.102027

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