Scoring system for Morphine tolerance of neural cells

 

Long-term morphine treatment leads to tolerance, which attenuates analgesia effect and hampers clinical utilization for moderate to severe pain. We propose a novel feature set for each cell type including astrocyte, microglia, and neuron to robustly discriminate morphine-tolerant cell images from normal cell images. We use inheritable bi-objective genetic algorithm (IBCGA) to combine support vector machine to select optimized feature set from large number of image features. Therefore, we design a mathematical modeling to build a scoring system for Morphine tolerance.

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