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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Bibliografische gegevens
Gepubliceerd in:Front Oncol
Hoofdauteurs: Bagher-Ebadian, Hassan, Janic, Branislava, Liu, Chang, Pantelic, Milan, Hearshen, David, Elshaikh, Mohamed, Movsas, Benjamin, Chetty, Indrin J., Wen, Ning
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2019
Onderwerpen:
Oncology
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6901911/
https://ncbi.nlm.nih.gov/pubmed/31850209
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2019.01313
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