Abstract Accessible mammography datasets and innovative machine learning techniques are at the forefront of computer-aided breast cancer diagnosis. However. the opacity surrounding private datasets and the unclear methodology behind the selection of subset images from publicly available databases for model training and testing. coupled with the arbitrary incompleteness or inaccessibil... https://www.ivoryjinelle.com/