Application of Improved CNN Technology in Medical Imaging Course

Abstract

The role of artificial intelligence technology in the medical field has become more and more important. As an important part of artificial intelligence technology, the CNN model in deep learning has become more and more widely used in the field of CT image recognition. In the process of recognizing CT images, the previous CNN model will have the consequences of low recognition accuracy and over fitting, resulting in less obvious recognition effect.This paper proposes an improved CT image recognition method based on 3-D CNN, a convolutional neural network for image classification mainly used to solve the correlation information between images and add new dimension information on human cancer tissue. The method saves valuable education resources on Chinese medicine, reduces the repetitive mechanical workload of medical college lecturers, and improves the efficiency of medical students' knowledge acquisition. Experimental results show that the accuracy of medical CT images can be improved by using 3D-CNN method, thus improving the prediction of the location of cancer areas during CT scans.

Keywords: 3-D CNN model; CT image; depth Learning; medicine Education