Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis

Purpose: The aim of this study was to identify and rank discriminant radiomics features extracted from MR multi-modal images to construct an adaptive model for characterization of Dominant Intra-prostatic Lesions (DILs) from normal prostatic gland tissues (NT). Methods and Materials: Two cohorts wer...

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Detalles Bibliográficos
Autores principales: Bagher-Ebadian, Hassan, Janic, Branislava, Liu, Chang, Pantelic, Milan, Hearshen, David, Elshaikh, Mohamed, Movsas, Benjamin, Chetty, Indrin J., Wen, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901911/
https://www.ncbi.nlm.nih.gov/pubmed/31850209
http://dx.doi.org/10.3389/fonc.2019.01313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901911/
https://www.ncbi.nlm.nih.gov/pubmed/31850209
http://dx.doi.org/10.3389/fonc.2019.01313

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