Predicting malignancy of breast lesions based on clinical and ultrasonographic features

This repository contains the code for the paper:

• Isabela Carlotti, Sarah Recife, Licerio Miguel, Ruth Bonini, Nilton Onari, Ana Faim, Liliane Silvestre, Danilo Carlotti, Daniel Tiezzi, and Alek Frohlich. Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features. To be published.

Please cite the paper if it's useful for your research.

Overview