A Novel Hybrid Deep Learning Architecture Combining CNNs, Vision Transformers, and Multi-Scale Attention for Enhanced Detection of Breast Cancer in Histopathology Images
The proposed HrybridViT-CAM, a hybrid deep learning system that integrates convolution neural networks, Vision Transformers, and multi-scale attention system in order to classify breast cancer using histopathology images was able to detect the malignant regions of interest (ROIs) like nuclei pleomorphism, atypia chroma...