MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

Abstract Background Quantitative radiomic features provide a plethora of minable data extracted from multi-parametric magnetic resonance imaging (MP-MRI) which can be used for accurate detection and localization of prostate cancer. While most cancer detection algorithms utilize either voxel-based or...

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Bibliographic Details
Main Authors: Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Medical Imaging
Subjects:
Computer-aided detection
Multi-parametric MRI
Prostate cancer
Online Access:http://link.springer.com/article/10.1186/s12880-018-0258-4

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http://link.springer.com/article/10.1186/s12880-018-0258-4

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