Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine
WC Shia, DR Chen�- Computerized Medical Imaging and Graphics, 2021 - Elsevier
In this study, a transfer learning method was utilized to recognize and classify benign and
malignant breast tumors, using two-dimensional breast ultrasound (US) images, to decrease
the effort expended by physicians and improve the quality of clinical diagnosis. The
pretrained deep residual network model was utilized for image feature extraction from the
convolutional layer of the trained network; whereas, the linear support vector machine
(SVM), with a sequential minimal optimization solver, was used to classify the extracted�…
malignant breast tumors, using two-dimensional breast ultrasound (US) images, to decrease
the effort expended by physicians and improve the quality of clinical diagnosis. The
pretrained deep residual network model was utilized for image feature extraction from the
convolutional layer of the trained network; whereas, the linear support vector machine
(SVM), with a sequential minimal optimization solver, was used to classify the extracted�…
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