Pilot study of a novel tool for input-free automated identification of transition zone prostate tumors using T2- and diffusion-weighted signal and textural features.
about
Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology.Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.Radiomics: a new application from established techniques.Relaxation along fictitious field, diffusion-weighted imaging, and T2 mapping of prostate cancer: Prediction of cancer aggressiveness.
P2860
Pilot study of a novel tool for input-free automated identification of transition zone prostate tumors using T2- and diffusion-weighted signal and textural features.
description
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name
Pilot study of a novel tool fo ...... signal and textural features.
@en
Pilot study of a novel tool fo ...... signal and textural features.
@nl
type
label
Pilot study of a novel tool fo ...... signal and textural features.
@en
Pilot study of a novel tool fo ...... signal and textural features.
@nl
prefLabel
Pilot study of a novel tool fo ...... signal and textural features.
@en
Pilot study of a novel tool fo ...... signal and textural features.
@nl
P2093
P2860
P356
P1476
Pilot study of a novel tool fo ...... d signal and textural features
@en
P2093
Fang-Ming Deng
Joseph N Stember
Samir S Taneja
P2860
P304
P356
10.1002/JMRI.24375
P577
2013-10-29T00:00:00Z