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

• Published in: BMC medical imaging Vol. 18; no. 1; pp. 16 - 14
• Main Authors: Khalvati, Farzad, Zhang, Junjie, Chung, Audrey G., Shafiee, Mohammad Javad, Wong, Alexander, Haider, Masoom A.
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 16.05.2018; BioMed Central; BMC
• Subjects: Algorithms; Cancer diagnosis; Care and treatment; Computer-aided detection; Data Mining; Diagnosis; Early Detection of Cancer - methods; Humans; Image Interpretation, Computer-Assisted - methods; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Multi-parametric MRI; Prostate cancer; Prostatic Neoplasms - diagnostic imaging; Sensitivity and Specificity; Computer-aided detection; Prostate cancer; Multi-parametric MRI

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 region-based featur...