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Table 2 Classifiers employed for lesion classification

From: Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

Classifier

Description

LDA

Linear discriminant analysis

NLDA

Naive Bayes linear discriminant analysis

QDA

Quadratic discriminant analysis

NQDA

Naive Bayes quadratic discriminant analysis

FLD

Fisher’s linear discriminant analysis

PK

SVM Classification with a polynomial kernel

RBF

SVM Classification with a radial basis function

PUK

SVM Classification with a Pearson VII universal function kernel

AUC

Area under the ROC curve