Method for identifying pathological category based on distance calculation method and related equipment

Abstract

The embodiment of the invention discloses a method for identifying a pathological category based on a distance calculation method, and the method comprises the steps: obtaining to-be-diagnosed featureparameters which comprise N feature parameters corresponding to N features; obtaining preset standard parameters, wherein the preset standard parameters comprise M * N standard parameters of N features corresponding to the M pathological categories respectively; a preset distance calculation method is adopted to calculate prediction distances between the to-be-diagnosed characteristic parametersand the standard parameters corresponding to the pathology categories, and M prediction distances are obtained; the pathological categories corresponding to the to-be-diagnosed characteristic parameters are determined according to the M prediction distances, and the to-be-diagnosed characteristic parameters and the standard parameters corresponding to the pathological categories are calculated andcompared one by one, so that automation of pathological diagnosis is realized, and objectivity and accuracy of pathological diagnosis are improved. In addition, the invention further provides a system for identifying the pathological category based on the distance calculation method, computer equipment and a storage medium.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for identifying pathological categories based on a distance calculation method and related equipment. Background technique [0002] Pathological diagnosis is the study of the cause of disease, pathogenesis, and the morphological structure of the diseased body during the disease process, functional metabolic changes and the outcome of the disease, so as to provide the necessary theoretical and practical basis for the diagnosis, treatment and prevention of the disease. Pathological diagnosis is the most reliable among various examination methods for tumors. Pathological diagnosis is called the "gold standard" and is also the final diagnosis of the disease. [0003] From clinical symptoms to traditional HE pathological forms, there are many similar lesions, which are easily confused with many diseases, including benign and malignant diseases. Once misdiagnosed, it will c...

AI Technical Summary

Problems solved by technology

However, at present, predicting the outcome phenomenon based on the experience of different personal levels has serious personal subjectivity.

In addition, there are large differences in the interpretation of resultant phenomena between different medical institutions and different doctors, which reduces the objectivity of pathological classification identification, thereby affecting the quality of diagnosis and treatment to a certain extent, making the accuracy of pathological classification identification not high. High rate of missed pathological diagnosis

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