Predicting Grade and Patient Survival in Renal Cancer Using Machine Learning Analysis of Nucleolar Prominence - Ivanova, Elena; Fayzullin, Alexey; Grinin, Victor; Zhavoronkov, Dmitry; Ermilov, Dmitry; Balyasin, Maxim; Timakova, Anna; Bakulina, Alesia; Osmanov, Yusif; Rudenko, Ekaterina; Arutyunyan, Alexander; Parchiev, Ruslan; et al. (Cancer medicine (Malden, MA), 2025)
Keywords: Accuracy; Aged; Annotations; Artificial intelligence; Automation; Carcinoma, Renal Cell - mortality; Carcinoma, Renal Cell - pathology; Cell density; Cell Nucleolus - pathology; Classification; Clear cell-type renal cell carcinoma; computational pathology; Computer vision; Datasets; digital pathology; Female; Humans; Kidney cancer; Kidney Neoplasms - mortality; Kidney Neoplasms - pathology; Machine Learning; Male; Metastases; Middle Aged; Morphology; Neoplasm Grading; Nucleoli; Pathology; Prognosis; renal cell carcinoma; ROC Curve; Software; Russia; renal cell carcinoma; computational pathology; digital pathology; artificial intelligence; computer vision