Machine learning in predicting extracapsular extension (ECE) of prostate cancer with MRI: a protocol for a systematic literature review

INTRODUCTION: In patients with prostate cancer (PCa), the detection of extracapsular extension (ECE) and seminal vesicle invasion is not only important for selecting the appropriate therapy but also for preoperative planning and patient prognosis. It is of paramount importance to stage PCa correctly...

Descripción completa

Detalles Bibliográficos
Autores principales: Guerra, Adalgisa, Negrão, Eduardo, Papanikolaou, Nickolaos, Donato, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Radiology and Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083401/
https://www.ncbi.nlm.nih.gov/pubmed/35523484
http://dx.doi.org/10.1136/bmjopen-2021-052342

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083401/
https://www.ncbi.nlm.nih.gov/pubmed/35523484
http://dx.doi.org/10.1136/bmjopen-2021-052342

Ejemplares similares