Effects of nutrition intervention on the rehabilitation level and quality of life of patients with diabetes foot: Image observation based on image recognition technology

Abstract

Today, the application of CT scanning technology is still limited. Therefore, an image observation method based on image recognition technology is proposed in this paper to study the impact of nutritional intervention on the rehabilitation level and quality of life of diabetic foot patients. Firstly, in view of the noise problems existing in CT images, this paper adopts the denoising technology, in which Gaussian noise and salt and pepper noise denoising algorithms are mainly used. Noise interference in the image can be removed by denoising processing, and the clarity and quality of the image can be improved. Subsequently, in order to improve the recognition and classification accuracy of the image, data enhancement and data standardization techniques are adopted to normalize the pixel values of the image, so as to make different images comparable, so as to improve the stability and classification accuracy of the model. Finally, CNN model is used to study image classification. The effects of nutritional intervention on the rehabilitation level and quality of life of patients with diabetic foot were investigated by setting up a comparative experiment. The results showed that nutrition intervention nursing can effectively improve the rehabilitation level of diabetic foot patients, improve the quality of life, improve nursing satisfaction.

Keywords: CT scanning technology; Diabetes foot patients; Image recognition; Imaging observation; Nutritional intervention.