Enhancing Breast Cancer Diagnosis with Vision Transformer-based Ultrasound Image Classification

Around the world, millions of individuals are impacted by the awful disease known as breast cancer. Early detection is essential for more successful therapy. Deep learning techniques provide enormous potential for the detection and categorization of breast cancer in medical images, according to a recent study. This study examined the accuracy with which a Vision Transformer model could distinguish between different types of breast cancer. The model showed a 95% classification accuracy after being trained on a collection of ultrasound pictures. According to the study, radiologists may be able to make more accurate diagnoses since the Vision Transformer model can classify breast cancer more precisely than the CNN model.