HIGHLIGHTS
- who: Wei-Feng Qu from the United States Yale University, United States have published the article: Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deepu00a0learning, in the Journal: (JOURNAL)
- what: This study successfully developed a convolutional neural_network (CNN) based on six classes of HCC tissues (namely, tumor region, normal liver tissue, portal area, fibrosis, hemorrhage/necrotic area, and lymphocyte area) and constructed a histological score (HS) via least absolute shrinkage and selection operator (LASSO) Cox regression to assess patients` recurrence risk after hepatectomy.
- how: The authors analyzed . . .
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