Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements

(1) Objective: To design an artificial intelligence system for prostate cancer prediction using the data obtained by shear wave elastography of the prostate, by comparing it with the histopathological exam of the prostate biopsy specimens. (2) Material and methods: We have conducted a prospective st...

Descripción completa

Detalles Bibliográficos
Autores principales: Secasan, Ciprian Cosmin, Onchis, Darian, Bardan, Razvan, Cumpanas, Alin, Novacescu, Dorin, Botoca, Corina, Dema, Alis, Sporea, Ioan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221963/
https://www.ncbi.nlm.nih.gov/pubmed/35735445
http://dx.doi.org/10.3390/curroncol29060336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221963/
https://www.ncbi.nlm.nih.gov/pubmed/35735445
http://dx.doi.org/10.3390/curroncol29060336

Ejemplares similares