HIGHLIGHTS
- who: Meiyi Yang from the Xiangya Hospital, Central South University have published the research work: CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma, in the Journal: (JOURNAL)
- what: The authors propose a transformer classifier, TransResNet, to predict high-grade ccRCC using CT images. Patient cohort: This diagnostic and observational study was approved by the institutional review board (West China Hospital, Sichuan University), and written informed consent was obtained from all patients. The authors show the ROC curve in Figure 5. This study analyzes various ensemble . . .
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