CHARACTERIZATION OF N6-CYCLOHEXYLADENOSINE-INDUCED HYPOTHERMIA IN SYRIAN HAMSTERS


LAD-GCN: Automatic diagnostic framework for quantitative estimation of growth patterns during clinical evaluation of lung adenocarcinoma

Quantitative estimation of growth patterns is important for diagnosis of lung adenocarcinoma and prediction of prognosis.However, the growth patterns of lung adenocarcinoma tissue are very dependent on the Ink Bottle spatial organization of cells.Deep learning for lung tumor histopathological image analysis often uses convolutional neural networks

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