Realization of Cancer Detection Algorithm Based on Computer Vision

Abstract

Breast cancer, which is one of the most common types of cancer among women worldwide, is responsible for claiming numerous lives annually, resulting in almost 600,000 fatalities. The key to achieving successful treatment lies in the early identification of the disease. The continuous progress in artificial intelligence has revolutionized the potential for accurately diagnosing and treating breast cancer. This research centers on the practical implementation of convolutional neural networks, a form of artificial intelligence, in recognizing breast cancer. The outcomes indicate that this particular method substantially improves the speed of detection, allowing medical professionals to render more precise judgments in a considerably reduced timeframe.