Nature

Reciprocal cooperative gating fusion of SqueezeNet and ShuffleNetV2 for breast cancer detection in histopathology images

Breast cancer remains one of the most common and life-threatening diseases that affect women worldwide. According to GLOBOCAN 2022, an estimated 20 million new cancer cases and 9.7 million deaths ...
Nature

Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images

Mortality from breast cancer (BC) is among the top causes of cancer death in women. BC can be effectively treated when diagnosed early, improving the likelihood that a patient will survive. BC masses ...