Colorectal polyp detection using deep learning

Colorectal polyp detection using deep learning refers to the application of artificial intelligence (AI), particularly deep learning algorithms such as convolutional neural networks (CNNs) and object detection models like YOLO, to identify and localize colorectal polyps during colonoscopy from image or video data. These methods aim to enhance real-time detection accuracy, reduce misdiagnosis, and assist endoscopists in early identification of precancerous lesions, playing a critical role in colorectal cancer prevention. Although highly effective in medical imaging, this is a computational technique—not a molecular or therapeutic target.

Other names

Colorectal polyp detection by artificial intelligenceDeep learning colorectal polyp detectionAI colon polyp detection