AUTOMATED EPITHELIAL NUCLEI SEGMENTATION FOR COMPUTATIONAL DISEASE DETECTION ALGORITHMS
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机译:用于计算疾病检测算法的上皮细胞核自动分离
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摘要
In aspects, the subject innovation can comprise systems and methods capable of automatically labeling cell nuclei (e.g., epithelial nuclei) in tissue images containing multiple cell types. The enhancements to standard nuclei segmentation algorithms of the subject innovation can enable cell type specific analysis of nuclei, which has recently been shown to reveal novel disease biomarkers and improve diagnostic accuracy of computational disease classification models.
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