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Nevertheless, these indexes currently is not utilized in success forecast because joining all of them with clients' clinicopathological features (e.g., age and cyst size) is challenging because of their high measurement and sparse functions. To deal with this problem, we suggest a novel two-stage success prediction model called ICSPM to participate the IHC images and clinicopathological features. When it comes to first phase, our recommended SDAE-GAN compresses high-dimensional IHC pictures to level, small