Method for analyzing proportion of PD-L1 positive tumor cells in non-small cell lung cancer and storage equipment
A non-small cell lung cancer and PD-L1 technology, applied in the computer field, can solve the problems of low manual calculation efficiency, high threshold, and poor accuracy of pathologists, and achieve simplified machine learning pathological characteristics, time-consuming, learning and analysis difficulties big effect
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[0044] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.
[0045] see figure 1 , in this embodiment, a method for analyzing the proportion of PD-L1 positive tumor cells in non-small cell lung cancer is specifically implemented as follows:
[0046] Firstly, the nouns that will appear in this embodiment are explained as follows:
[0047] TPS: Tumor Proportion Score, tumor cell positive proportion score.
[0048] In this embodiment, the specific marker is illustrated by PD-L1, and in other embodiments, it can be any other specific marker, and the tumor cell marker is illustrated by a cocktail mixed primary antibody, which is not limited. The following expands the specific description:
[0049] Step S101: Obtain the section to be stained. The details can be as follows: Take the preset number ...
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