An image screening method and device
An image and screening technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficulty in diagnosing chest X-ray diseases, organ occlusion, etc., to achieve clear and detailed lesion information, reduce occlusion, and high accuracy.
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Embodiment 1
[0084] Such as figure 1 As shown, this embodiment provides a schematic flow chart of an image screening method, and this specification provides the method operation steps described in the embodiment or flow chart, but based on routine or non-creative work, it may include more or less operation steps. The sequence of steps enumerated in the embodiments is only one of the execution sequences of many steps, and does not represent the only execution sequence. specific as figure 1 As shown, the method includes:
[0085] S101. Acquiring bone images from chest X-ray films;
[0086] S102. Perform fusion processing on the chest X-ray film and the bone image to obtain a fusion image;
[0087] S103. Input the fused image into an image screening model for testing, and obtain an image screening result; the image screening model includes a model determined by deep learning training based on the sample fused image and the abnormal bone label of the sample fused image;
[0088] The deep ...
Embodiment 2
[0117] This embodiment is based on Embodiment 1. Such as image 3 As shown, the fusion processing of the chest X-ray film and the bone image to obtain the fusion image includes:
[0118] S301. Input the chest X-ray film into the first channel and the second channel of the deep learning model respectively;
[0119]S302. Input the bone image into the third channel of the deep learning model;
[0120] S303. Perform fusion processing on the images in the three channels to obtain a fusion image.
[0121] In a specific embodiment, such as Figure 4 As shown, the image screening model includes determining by the following method:
[0122] S401. Input a sample fusion image in the deep learning model;
[0123] S402. Use the classification network, detection network or segmentation network in the deep learning model to train and output the sample fusion image; for example, for scoliosis, which has a large abnormal area and obvious features, the abnormal bone image can be Use a cla...
Embodiment 3
[0144] Such as Figure 6 As shown, this embodiment discloses an image screening device, which includes:
[0145] Skeletal image acquisition module 601, used to acquire bone images from chest X-ray films;
[0146] An image fusion processing module 602, configured to perform fusion processing on the chest X-ray film and the bone image to obtain a fusion image;
[0147] The image screening module 603 is configured to input the fused image into an image screening model for testing, and obtain an image screening result; Learn to train certain models.
[0148] Further, as Figure 7 As shown, the skeleton image acquisition module 601 includes:
[0149] A resolution image acquisition module 6011, configured to sample the chest X-ray film to obtain at least two images with different resolutions;
[0150] The output bone image acquisition module 6012 is used to input the images of at least two different resolutions into the corresponding pre-trained convolutional neural network to ...
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