Novel AI algorithm assists in breast cancer screening

The image illustrates the gradient-based saliency maps predicted by the MV-DEFEAT model highlighting the relevant regions of interest and capturing the information that can assist the radiologist in the decision-making process.The picture shows original mammograms on the top from different views. The red parts on the second row are the areas the computer-assisted model focuses on when deciding how dense the breast is. The model learns to find these important areas by itself to help it classify breast density. Credit: University of Eastern Finland Researchers at the University of Eastern Finland have developed a novel artificial intelligence-based algorithm, MV-DEFEAT, to Read More