Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy

PURPOSE: Targeted biopsy improves prostate cancer diagnosis. Accurate prostate segmentation on magnetic resonance imaging (MRI) is critical for accurate biopsy. Manual gland segmentation is tedious and time-consuming. We sought to develop a deep learning model to rapidly and accurately segment the p...

Descripción completa

Detalles Bibliográficos
Autores principales: Soerensen, Simon John Christoph, Fan, Richard E., Seetharaman, Arun, Chen, Leo, Shao, Wei, Bhattacharya, Indrani, Kim, Yong-hun, Sood, Rewa, Borre, Michael, Chung, Benjamin I., To'o, Katherine J., Rusu, Mirabela, Sonn, Geoffrey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2021
Materias:
Adult Urology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352566/
https://www.ncbi.nlm.nih.gov/pubmed/33878887
http://dx.doi.org/10.1097/JU.0000000000001783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352566/
https://www.ncbi.nlm.nih.gov/pubmed/33878887
http://dx.doi.org/10.1097/JU.0000000000001783

Ejemplares similares