| Abstrakt: |
A recent report published by researchers from the Department of Computer Science and Engineering in Telangana, India, highlights the potential of artificial intelligence (AI) and machine learning (ML) in improving the accuracy and efficiency of breast cancer (BC) diagnosis. The researchers developed an intelligent BC image analysis system that utilizes transfer learning (TL) with ensemble stacking ML models. The proposed system, which analyzed ultrasound BC images using TL models such as Inception V3, VGG-19, and VGG-16, demonstrated superior performance compared to existing BC diagnostic systems. The research concludes that the proposed system has the potential to enhance breast cancer diagnosis. [Extracted from the article] |
