Abstract
Hepatopathy is a kind of disease with high incidence, so the progress in the field of liver disease research is highly valued. Medical image, as an important part of medical diagnosis, provides an important basis for doctors to make correct diagnosis. Pathological images play a significant role in clinical application because they can facilitate doctors to clearly observe the degree of lesions and make accurate judgments. As an important component of computer vision, deep learning has been paid more and more attention by researchers. The application of computer aided technology in medical image detection has become an important application of computer vision. In view of this situation, an automatic diagnosis method of liver pathological images based on deep learning method is proposed. We analyze the image features, then design and train the classification model. The final results confirmed that this method can effectively classify the pathological images of liver and has a high accuracy rate.
Highlights
In recent years, with the improvement of people's living standards, people pay more and more attention to health, and health has become one of the most concerned topics in today's society
A pathological image of the liver is a sample obtained by a liver biopsy, the image obtained by observing the sample through a microscope
As its accuracy rate can reach more than 80%, it is considered as a better inspection method at present
Summary
With the improvement of people's living standards, people pay more and more attention to health, and health has become one of the most concerned topics in today's society. A pathological image of the liver is a sample obtained by a liver biopsy, the image obtained by observing the sample through a microscope It is widely used in the differential diagnosis of various liver diseases in the medical field. The popular artificial intelligence technology in the field of computer in recent years, especially the deep learning algorithm has been widely used in the field of image processing. A classification method of liver biopsy pathological images based on convolution neural network was proposed in this paper. As an important part of deep learning, convolutional neural network is a kind of artificial neural network widely used in the world in recent years. Convolutional neural network has begun to play its advantages in many fields. An experimental method based on convolution neural network is designed.
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