Focus area classification method and system for full-view digital pathological section
A technology for digital pathological slices and region classification, applied in the field of image processing, can solve problems such as low efficiency and time-consuming analysis, and achieve the effects of reducing errors, improving computing efficiency and classification accuracy, and enhancing recognition capabilities
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[0027] The invention discloses a method and system for classifying lesion regions of full-field digital pathological slices. The method includes the following steps:
[0028] S1. Annotate the pathological slice image to obtain the annotated slice image;
[0029] Firstly, the acquired original full-view digital pathological slices are cut into smaller pathological slice images; the pathological tissue area in the pathological slice images is segmented by using the Otsu threshold segmentation method, and then the pathological slice images are slid through the pathological slice images using a sliding window of 4096×4096 , and set the threshold to 0.7, filter out the pathological slice images whose pathological tissue area ratio exceeds the threshold, and mark the lesion area.
[0030] S2. The image blocks obtained after twice screening the labeled slice images are used as a training set. In this embodiment, 116 gastric slice images containing gastric cancer regions or common gas...
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