Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis

Background: This study aims to evaluate the diagnostic performance of Deep Learning (DL) machine for the detection of adenomyosis on uterine ultrasonographic images and compare it to intermediate ultrasound skilled trainees. Methods: Prospective observational study were conducted between 1 and 30 Ap...

Descripción completa

Detalles Bibliográficos
Autores principales: Raimondo, Diego, Raffone, Antonio, Aru, Anna Chiara, Giorgi, Matteo, Giaquinto, Ilaria, Spagnolo, Emanuela, Travaglino, Antonio, Galatolo, Federico Andrea, Cimino, Mario Giovanni Cosimo Antonio, Lenzi, Jacopo, Centini, Gabriele, Lazzeri, Lucia, Mollo, Antonio, Seracchioli, Renato, Casadio, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914280/
https://www.ncbi.nlm.nih.gov/pubmed/36767092
http://dx.doi.org/10.3390/ijerph20031724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914280/
https://www.ncbi.nlm.nih.gov/pubmed/36767092
http://dx.doi.org/10.3390/ijerph20031724

Ejemplares similares