methanolic extract, and Habranthus itaobinus Ravenna ethyl acetate in different concentrations. Hepatoma (Hepa-1c1c7) and fibroblast (L929) cells were exposed to isolated substances, camptothecin, lycorine, tazettine, albomaculine, 3-epimacronine, trispheridine, galanthine and Padina gymnospora, Sargassum sp. This study evaluated in vitro cell viability by the colorimetric MTT stands for 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (3-(4, 5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide) (3-(4, 5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide) assay compared to image analysis by CellProfiler® software. We obtained an average F-score value of 0.75 to differentiate spindle cells nuclei from epithelioid cells nuclei and developed a visualization interface to explain differences between various types of cells with color markup of cell nuclei, probability of belonging to a certain class and deconvolution maps. Our solution is based on the use of conventional neural network for the classification of images of uveal melanoma cells. Machine learning can be used to objectify the criteria of pathomorphological study of uveal melanoma, but currently there are no published works on machine analysis of pathomorphological images of this type of tumors. The discrepancies in diagnoses are due to the use of different classifications, which can lead to an incorrect assessment of the vital prognosis and incorrect tactics of patient treatment. The study of the cellular composition of the tumor is subjective and results in disagreements about the type of individual cells in 13% of cases among qualified pathologists. The presence of epithelioid cells reflects an unfavorable vital prognosis. Depending on the cellular composition, the tumor is classified as a spindle cell (A or B), epithelioid cell or mixed cell. Uveal melanoma is a malignant tumor originating from melanocytes of an eye vascular tract.

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