Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics

Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics

The computer-aided analysis of prostate multiparametric MRI (mpMRI) could improve significant-prostate-cancer (PCa) detection. Various deep-learning- and radiomics-based methods for significant-PCa segmentation or classification have been reported in the literature. To be able to assess the generali...

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Bibliographic Details
Main Authors: Jose M. Castillo T., Muhammad Arif, Martijn P. A. Starmans, Wiro J. Niessen, Chris H. Bangma, Ivo G. Schoots, Jifke F. Veenland
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Cancers
Subjects:
prostate carcinoma
clinically significant
radiomics
machine learning
deep learning
comparison
Online Access:https://www.mdpi.com/2072-6694/14/1/12

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