Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique

BACKGROUND: Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneities in DWI, which can interfere with DL-CAD assessments and impair performance....

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Detalles Bibliográficos
Autores principales: Hu, Lei, Fu, Caixia, Song, Xinyang, Grimm, Robert, von Busch, Heinrich, Benkert, Thomas, Kamen, Ali, Lou, Bin, Huisman, Henkjan, Tong, Angela, Penzkofer, Tobias, Choi, Moon Hyung, Shabunin, Ivan, Winkel, David, Xing, Pengyi, Szolar, Dieter, Coakley, Fergus, Shea, Steven, Szurowska, Edyta, Guo, Jing-yi, Li, Liang, Li, Yue-hua, Zhao, Jun-gong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843860/
https://www.ncbi.nlm.nih.gov/pubmed/36647150
http://dx.doi.org/10.1186/s40644-023-00527-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843860/
https://www.ncbi.nlm.nih.gov/pubmed/36647150
http://dx.doi.org/10.1186/s40644-023-00527-0

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