External validation of a publicly available computer assisted diagnostic tool for mammographic mass lesions with two high prevalence research datasets
Matthias Benndorf,Elizabeth S. Burnside,Christoph Herda,Mathias Langer,Elmar Kotter-2015-07-31-Medical Physics
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TL;DRAbstract
The authors' results reveal that the MMassDx algorithms have good discriminatory performance but less accurate calibration when tested on two independent validation datasets. Improvement in calibration and testing in a prospective clinical population will be important steps in the pursuit of translation of these algorithms to the clinic.
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The authors' results reveal that the MMassDx algorithms have good discriminatory performance but less accurate calibration when tested on two independent validation datasets. Improvement in calibration and testing in a prospective clinical population will be important steps in the pursuit of translation of these algorithms to the clinic.
Keywords
BI-RADSComputer scienceMammographyDiscriminative modelArtificial intelligenceLexiconBreast imagingPattern recognition (psychology)
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