Cancer metastasis panoramic pathological section analysis method based on deep cascade network
A cascading network and pathological slice technology, which is applied in pathological reference, image analysis, image data processing, etc., can solve the problems of cancer metastasis area and cancer cell segmentation, and reduce the probability of over-treatment and inappropriate treatment. Improve work efficiency and enhance effectiveness
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[0036] In order to further clarify the scheme and principle of the present invention, the present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.
[0037] A deep cascade network-based panoramic pathological slice analysis method for cancer metastasis, using a cascade network (CNN) to complete the analysis and judgment of the cancer metastasis area. In this embodiment, the panoramic pathological slice image of breast lymph node cancer metastasis is taken as an example, such as figure 1 As shown, the process of creating the cascaded network includes a training phase and a testing phase. The following will describe the design and implementation of the cascaded network from these two phases.
[0038] The specific process is as follows:
[0039] 1. Build the model
[0040] 1.1) Create a training set
[0041] The cascaded network includes a coarse segmentation neural network and a fine segmentation neural network,...
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