Deep Learning Algorithm for Tumor Segmentation and Discrimination of Clinically Significant Cancer in Patients with Prostate Cancer

Background: We investigated the feasibility of a deep learning algorithm (DLA) based on apparent diffusion coefficient (ADC) maps for the segmentation and discrimination of clinically significant cancer (CSC, Gleason score ≥ 7) from non-CSC in patients with prostate cancer (PCa). Methods: Data from...

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Detalles Bibliográficos
Autores principales: Hong, Sujin, Kim, Seung Ho, Yoo, Byeongcheol, Kim, Joo Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453750/
https://www.ncbi.nlm.nih.gov/pubmed/37623009
http://dx.doi.org/10.3390/curroncol30080528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453750/
https://www.ncbi.nlm.nih.gov/pubmed/37623009
http://dx.doi.org/10.3390/curroncol30080528

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