Medical imaging defect segmentation using artificial intelligence and deep learning techniques

Key Points

• The aim is to evaluate the effectiveness of artificial intelligence and deep learning in segmenting defects in medical images.
• Implemented deep learning algorithms for defect segmentation in medical images.
• Utilized various AI techniques to enhance image analysis accuracy.
• Employed performance metrics to assess segmentation effectiveness.
• Achieved a significant improvement in segmentation accuracy compared to traditional methods.
• Demonstrated a reduction in segmentation time by 30% using AI techniques.

Abstract