Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion

Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion

Abstract The most common types of kidneys and liver cancer are renal cell carcinoma (RCC) and hepatic cell carcinoma (HCC), respectively. Accurate grading of these carcinomas is essential for determining the most appropriate treatment strategies, including surgery or pharmacological interventions. T...

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Bibliographic Details
Main Authors: Shreyan Kundu, Souradeep Mukhopadhyay, Rahul Talukdar, Dmitrii Kaplun, Alexander Voznesensky, Ram Sarkar
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Cell carcinoma
Deep learning
Histopathology image analysis
Automated grading system
Machine learning
Medical imaging
Online Access:https://doi.org/10.1038/s41598-025-00217-w
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https://doi.org/10.1038/s41598-025-00217-w

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