Deep learning-based intelligent X-ray film diagnosis method

Abstract

The invention discloses a deep learning-based intelligent X-ray film diagnosis method. The method comprises the following steps: image data of chest X-ray films stored in a preset memory are acquired;the image data of the chest X-ray films are augmented in a preset mode; the augmented image data are subjected to preprocessing operation to enable data features to meet a standard; the preprocessedimage data are classified to form a plurality of classification models, and model training is designed for each classification model to generate a model training prediction result; a final CNN featuremap is acquired, and according to the CNN feature map, a thermodynamic map is generated; and according to the model training prediction result of each classification model, an integration result is calculated and obtained. Deep learning on pulmonary disease characteristics in a large number of chest X-ray films can be carried out, multiple pulmonary diseases can be accurately predicted, a diagnosis basis is provided, the prediction time is greatly less than manual diagnosis time, and the time of a doctor is saved.

Description

technical field [0001] The invention relates to medical image recognition technology, in particular to an X-ray intelligent diagnosis method based on deep learning. Background technique [0002] Chest x-rays are the most commonly used medical imaging tool and play a vital role in the screening, diagnosis and management of diseases including pneumonia, however monitoring lung disease from chest x-rays A difficult task for radiologists. Because lung disease is often difficult to identify on x-rays, it may overlap with other conditions and can mimic many other benign abnormalities. These reasons lead to wide variation in the performance of radiologists when diagnosing lung disease. Contents of the invention [0003] In order to overcome the deficiencies of the prior art, the object of the present invention is to provide a deep learning-based X-ray film intelligent diagnosis method, which can solve the problem in the prior art that manual identification of X-ray films is dif...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the prior art, the object of the present invention is to provide an intelligent diagnosis method based on deep learning of X-ray films, which can solve the problem in the prior art that manual identification of X-ray films is difficult to diagnose the performance of lung diseases

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