A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial step of CAD for prostate cancer, but visual inspect...

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Detalles Bibliográficos
Autores principales: Sunoqrot, Mohammed R. S., Selnæs, Kirsten M., Sandsmark, Elise, Nketiah, Gabriel A., Zavala-Romero, Olmo, Stoyanova, Radka, Bathen, Tone F., Elschot, Mattijs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555425/
https://www.ncbi.nlm.nih.gov/pubmed/32961895
http://dx.doi.org/10.3390/diagnostics10090714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555425/
https://www.ncbi.nlm.nih.gov/pubmed/32961895
http://dx.doi.org/10.3390/diagnostics10090714

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