Lesion positioning core data extraction method and system, electronic equipment and storage medium

Abstract

The invention discloses a focus positioning core data extraction method and system, electronic equipment and a storage medium, and the method comprises the steps: calculating and fusing the information entropy, contrast value and input score value of any image in a medical image data set, and calculating the core degree of the any image; arranging all the images in the medical image data set in adescending order according to the core degrees, and extracting the images with the first k core degrees as core data. O; optimizing the information entropy by utilizing the previous batch of core dataand pathology-free medical data; and repeating the process to extract a proper amount of core data. According to the method, tThe extraction mechanism is continuously optimized while the core data iscontinuously extracted, so that the extraction performance of the method is continuously improved. Experiments prove that the method invention is high in practicability, an excellent focus positioning model can be obtained through training while a large amount of data annotation burdens are reduced, diagnosis of doctors can be effectively assisted, and the misdiagnosis rate is reduced.

Description

technical field [0001] The invention relates to the field of smart medical care, in particular to a method, system, electronic equipment and storage medium for extracting core data of lesion location based on active learning. Background technique [0002] In recent years, artificial intelligence has become increasingly mature in theory and technology, bringing a lot of convenience to human daily life, among which the development of intelligent medical care is very rapid, such as the algorithm based on deep learning proposed by Google, which can explain the signs of diabetic retinopathy; Ni uses deep learning to achieve high accuracy in abdominal organ segmentation and so on. These deep learning technologies can assist doctors in identifying diseases, greatly reduce the burden on doctors, and help doctors make more accurate diagnoses. These studies reflect the effectiveness of deep learning technology in medical image analysis, but most of the current research on intelligent...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a lesion localization core data extraction method, system, electronic equipment and storage medium for the deficiencies of the existing technologies, and to extract core data from medical image data without any lesion labeling information to solve the problem of intelligent In medical treatment, it is difficult to locate lesions due to a large amount of unlabeled and variable quality data

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