Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study
Abstract Background For most computer-aided diagnosis (CAD) problems involving prostate cancer detection via medical imaging data, the choice of classifier has been largely ad hoc, or been motivated by classifier comparison studies that have involved large synthetic datasets. More significantly, it...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-02-01
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Series: | BMC Medical Imaging |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12880-019-0308-6 |