Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network
Sidratul Montaha,
Sami Azam,
Md. Rahad Islam Bhuiyan
et al.
Abstract:Objective Early diagnosis of breast cancer can lead to effective treatment, possibly increase long-term survival rates, and improve quality of life. The objective of this study is to present an automated analysis and classification system for breast cancer using clinical markers such as tumor shape, orientation, margin, and surrounding tissue. The novelty and uniqueness of the study lie in the approach of considering medical features based on the diagnosis of radiologists. Methods Using clinical markers, a gra… Show more
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