Method and apparatus for identifying pathological picture

Abstract

The present invention discloses a method and an apparatus for identifying a pathological picture. The method comprises: obtaining sample data, wherein the sample data comprises a positive sample and anegative sample, the positive sample is a malignant lesion pathological picture, the negative sample is a normal or a benign lesion pathological picture, and a lesion area is marked on the malignantlesion pathological picture; dividing the sample data into a training set and a test set; training a deep neural network model by using the training set; testing the trained deep neural network modelby using the test set; performing parameter adjustment on the trained deep neural network model according to a test result; and identifying the pathological picture by using the trained deep neural network model. According to the method and apparatus disclosed by the present invention, the efficiency and accuracy of pathological picture identification can be improved.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and device for identifying pathological pictures. Background technique [0002] At present, patients suspected of having nasopharyngeal carcinoma need to submit the pathological pictures of their nasopharynx to the corresponding doctor for observation, and identify the normal, benign and malignant pathological pictures. A pathological picture has tens of thousands of pixels in length and width. To make an identification, a doctor with rich experience in nasopharyngeal carcinoma is generally required to observe carefully under the condition of 40 times magnification. The whole process Not only is it time-consuming and labor-intensive, it relies on experience, and the accuracy rate is not ideal, but doctors with different experience may have different identification conclusions for the same pathological picture. Contents of the invention [0003] An embodiment of the p...

AI Technical Summary

Problems solved by technology

A pathological picture has tens of thousands of pixels in length and width. To make an identification, a doctor with rich experience in nasopharyngeal carcinoma is generally required to observe carefully under the condition of 40 times magnification. The whole process Not only is it time-consuming and labor-intensive, it relies on experience, and the accuracy rate is not ideal, but doctors with different experience may have different identification conclusions for the same pathological picture.

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