Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework

Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework

The use of high-volume quantitative radiomics features extracted from multi-parametric magnetic resonance imaging (MP-MRI) is gaining attraction for the autodetection of prostate tumors, since it provides a plethora of mineable data, which can be used for both detection and prognosis of prostate can...

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Bibliographic Details
Main Authors: Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Access
Subjects:
Automatic prostate cancer detection
multi parametric magnetic resonance imaging (MP-MRI)
feature model
conditional random fields (CRF)
radiomics
Online Access:https://ieeexplore.ieee.org/document/7332243/

Internet

https://ieeexplore.ieee.org/document/7332243/

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