Lung pathological image classification and segmentation method based on deep learning
A pathological image and deep learning technology, applied in the field of medical image analysis, to achieve the effect of solving the inconsistency of segmentation results
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[0043] The present invention will be further described below in conjunction with the drawings. The following embodiments are only used to explain the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.
[0044] Such as figure 1 As shown, a method for classification and segmentation of lung pathological images based on deep learning provided by the present invention includes the following steps:
[0045] Step S1: Input the pathological image of the whole slice;
[0046] Step S2: Use a sliding window to segment the pathological image to obtain image blocks;
[0047] Step S3: Use the lesion type classification model to sequentially analyze the foreground image blocks, and identify the lesion type in the tissue area in the foreground image block;
[0048] Step S4: Output the classification result of the lesion type;
[0049] Step S5: Select a corresponding lesion area segmentation model according to the classi...
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