Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset

•Segmentation-based and segmentation-free breast mass analysis approaches are compared.•Comparison on common, public datasets is crucial for comparative algorithm analysis.•Modern representation learning techniques often outperform manual feature engineering.•More public evaluation data -- e.g. for digital mammograms -- would be beneficial.