Does deep learning software improve the consistency and performance of radiologists with various levels of experience in assessing bi-parametric prostate MRI?

OBJECTIVE: To investigate whether commercially available deep learning (DL) software improves the Prostate Imaging-Reporting and Data System (PI-RADS) scoring consistency on bi-parametric MRI among radiologists with various levels of experience; to assess whether the DL software improves the perform...

Descripción completa

Detalles Bibliográficos
Autores principales: Arslan, Aydan, Alis, Deniz, Erdemli, Servet, Seker, Mustafa Ege, Zeybel, Gokberk, Sirolu, Sabri, Kurtcan, Serpil, Karaarslan, Ercan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027972/
https://www.ncbi.nlm.nih.gov/pubmed/36939953
http://dx.doi.org/10.1186/s13244-023-01386-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027972/
https://www.ncbi.nlm.nih.gov/pubmed/36939953
http://dx.doi.org/10.1186/s13244-023-01386-w

Ejemplares similares