Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic Magnetic Resonance Imaging Using Mask Region-Based Convolutional Neural Networks

PURPOSE: Accurate delineation of the prostate gland and intraprostatic lesions (ILs) is essential for prostate cancer dose-escalated radiation therapy. The aim of this study was to develop a sophisticated deep neural network approach to magnetic resonance image analysis that will help IL detection a...

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Detalles Bibliográficos
Autores principales: Dai, Zhenzhen, Carver, Eric, Liu, Chang, Lee, Joon, Feldman, Aharon, Zong, Weiwei, Pantelic, Milan, Elshaikh, Mohamed, Wen, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Physics Contribution
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280293/
https://www.ncbi.nlm.nih.gov/pubmed/32529143
http://dx.doi.org/10.1016/j.adro.2020.01.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280293/
https://www.ncbi.nlm.nih.gov/pubmed/32529143
http://dx.doi.org/10.1016/j.adro.2020.01.005

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