Lung image processing method and device, electronic equipment and storage medium
An image processing and lung technology, applied in the field of medical image processing, can solve the problems of high medical quality requirements, missed detection of tuberculosis, and low screening efficiency, so as to improve screening efficiency, reduce manual participation, and solve missed tuberculosis The effect of detecting phenomena
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Embodiment 1
[0034] figure 1 It is a flow chart of a lung image processing method provided in Embodiment 1 of the present invention. This embodiment is applicable to processing lung images and screening for tuberculosis. The method can be executed by a lung image processing device. The lung image processing device can be implemented by software and / or hardware, and the lung image processing device can be configured on an electronic computing device, specifically including the following steps:
[0035] S110. Acquire a lung image to be processed.
[0036] Exemplarily, the image of the lungs to be processed may be an image to be identified whether there are tuberculosis lesions in the image.
[0037] Optionally, the image of the lungs to be processed may be an anteroposterior view of the chest.
[0038] S120. Input the lung image to be processed into the trained lung image processing model to obtain the probability value determined as pulmonary tuberculosis and the thermal map of the region...
Embodiment 2
[0055] Image 6 It is a flow chart of the lung image processing method provided by Embodiment 2 of the present invention. The embodiment of the present invention may be combined with various alternative solutions in the foregoing embodiments. In the embodiment of the present invention, optionally, the training method of the lung image processing model includes: acquiring multiple sets of historical chest front view images and historical annotation information corresponding to the historical chest front view images, wherein the history The label information is the information after labeling the pulmonary tuberculosis in the historical chest front view images; input multiple groups of historical chest front view images and the historical label information corresponding to the historical chest front view images into the lung image processing model to be trained In , iteratively trains the lung image processing model to be trained to obtain a trained lung image processing model. ...
Embodiment 3
[0103] Figure 13 It is a flow chart of the lung image processing method provided in Embodiment 3 of the present invention. The embodiment of the present invention may be combined with various alternative solutions in the foregoing embodiments. In the embodiment of the present invention, optionally, before inputting multiple sets of historical chest front view images and historical annotation information corresponding to the historical chest front view images into the lung image processing model to be trained, the The method also includes: for any set of acquired historical chest front view images and historical annotation information corresponding to the historical chest front view images, the following steps are performed: preprocessing the historical chest front view images and the historical annotation information to obtain Target historical chest front view image and target history annotation information; correspondingly, input multiple groups of history chest front view ...
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