Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.
Journal:
Current medical imaging
PMID:
32723242
Abstract
BACKGROUND: Breast cancer is one of the most leading causes of cancer deaths among women. Early detection of cancer increases the survival rate of the affected women. Machine learning approaches that are used for classification of breast cancer usually takes a lot of processing time during the training process. This paper attempts to propose a Machine Learning approach for breast cancer detection in mammograms, which does not depend on the number of training samples.