S. Hasan

A Dual-Branch Feature-Fusion Model of ResNet152V2 and DenseNet201 for Breast Abnormality Detection in Digitized Mammograms

Screening mammography remains the principal population-level tool for early breast cancer detection, and convolutional neural networks (CNNs) have been widely proposed as second readers. However, published comparisons of CNN backbones on mammographic data are difficult to interpret, because architectures are frequently...