Knowledge AI: New Medical AI Solution for Medical image Diagnosis
Yingni Wang, Shuge Lei, Jian Dai, Kehong Yuan
TL;DR
This paper introduces a knowledge AI approach that combines perceptual AI with clinical expertise to enhance medical image diagnosis by mining geometric information and evaluating image quality.
Contribution
It presents a novel method integrating clinical knowledge with perceptual AI to improve medical image processing and diagnosis accuracy.
Findings
Enhanced geometric information mining in medical images
Improved evaluation of medical image quality
Potential for better diagnostic support
Abstract
The implementation of medical AI has always been a problem. The effect of traditional perceptual AI algorithm in medical image processing needs to be improved. Here we propose a method of knowledge AI, which is a combination of perceptual AI and clinical knowledge and experience. Based on this method, the geometric information mining of medical images can represent the experience and information and evaluate the quality of medical images.
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Taxonomy
TopicsAdvanced Image Processing Techniques · Image and Signal Denoising Methods · Advanced Image Fusion Techniques