Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

The current standardized scheme for interpreting MRI requires a high level of expertise and exhibits a significant degree of inter-reader and intra-reader variability. An automated prostate cancer (PCa) classification can improve the ability of MRI to assess the spectrum of PCa. The purpose of the s...

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Detalles Bibliográficos
Autores principales: Liu, Yongkai, Zheng, Haoxin, Liang, Zhengrong, Miao, Qi, Brisbane, Wayne G., Marks, Leonard S., Raman, Steven S., Reiter, Robert E., Yang, Guang, Sung, Kyunghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535024/
https://www.ncbi.nlm.nih.gov/pubmed/34679484
http://dx.doi.org/10.3390/diagnostics11101785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535024/
https://www.ncbi.nlm.nih.gov/pubmed/34679484
http://dx.doi.org/10.3390/diagnostics11101785

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