Deep learning–based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy

Deep learning–based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy

Abstract Background To evaluate the performance of deep learning models in classifying parotid gland tumors using T2-weighted, diffusion-weighted, and contrast-enhanced T1-weighted MR images, along with DCE data derived from time-intensity curves. Methods In this retrospective, single-center study i...

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Bibliographic Details
Main Authors: Kazim Ayberk Sinci, Ilker Ozgur Koska, Yusuf Kenan Cetinoglu, Nezahat Erdogan, Ali Murat Koc, Nuket Ozkavruk Eliyatkin, Cagan Koska, Barkan Candan
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Parotid neoplasms
Pleomorphic adenoma
Warthin tumor
Deep learning
Perfusion magnetic resonance imaging
Online Access:https://doi.org/10.1186/s12880-025-01814-x
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https://doi.org/10.1186/s12880-025-01814-x

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