Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge

OBJECTIVES: To assess Prostate Imaging Reporting and Data System (PI-RADS)–trained deep learning (DL) algorithm performance and to investigate the effect of data size and prior knowledge on the detection of clinically significant prostate cancer (csPCa) in biopsy-naïve men with a suspicion of PCa. M...

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Detalles Bibliográficos
Autores principales: Hosseinzadeh, Matin, Saha, Anindo, Brand, Patrick, Slootweg, Ilse, de Rooij, Maarten, Huisman, Henkjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921042/
https://www.ncbi.nlm.nih.gov/pubmed/34786615
http://dx.doi.org/10.1007/s00330-021-08320-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921042/
https://www.ncbi.nlm.nih.gov/pubmed/34786615
http://dx.doi.org/10.1007/s00330-021-08320-y

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