Deep Learning for Detecting and Subtyping Renal Cell Carcinoma on Contrast-Enhanced CT Scans Using 2D Neural Network with Feature Consistency Techniques

Deep Learning for Detecting and Subtyping Renal Cell Carcinoma on Contrast-Enhanced CT Scans Using 2D Neural Network with Feature Consistency Techniques

Objective The aim of this study was to explore an innovative approach for developing deep learning (DL) algorithm for renal cell carcinoma (RCC) detection and subtyping on computed tomography (CT): clear cell RCC (ccRCC) versus non-ccRCC using two-dimensional (2D) neural network arch...

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Bibliographic Details
Main Authors: Amit Gupta, Rohan Raju Dhanakshirur, Kshitiz Jain, Sanil Garg, Neel Yadav, Amlesh Seth, Chandan J. Das
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2025-07-01
Series:Indian Journal of Radiology and Imaging
Subjects:
renal cell carcinoma
deep learning
classification
detection
F1 score
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1800804
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http://www.thieme-connect.de/DOI/DOI?10.1055/s-0044-1800804

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