Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks

The accuracy in diagnosing prostate cancer (PCa) has increased with the development of multiparametric magnetic resonance imaging (mpMRI). Biparametric magnetic resonance imaging (bpMRI) was found to have a diagnostic accuracy comparable to mpMRI in detecting PCa. However, prostate MRI assessment re...

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Detalles Bibliográficos
Autores principales: Lai, Chih-Ching, Wang, Hsin-Kai, Wang, Fu-Nien, Peng, Yu-Ching, Lin, Tzu-Ping, Peng, Hsu-Hsia, Shen, Shu-Huei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070192/
https://www.ncbi.nlm.nih.gov/pubmed/33921451
http://dx.doi.org/10.3390/s21082709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070192/
https://www.ncbi.nlm.nih.gov/pubmed/33921451
http://dx.doi.org/10.3390/s21082709

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