A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor

A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor

Meningiomas, the most prevalent tumors of the central nervous system, can have overlapping histopathological features with solitary fibrous tumors (SFT), presenting a significant diagnostic challenge. Accurate differentiation between these two diagnoses is crucial for optimal medical management. Cur...

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Bibliographic Details
Main Authors: Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar Mistry, Khadiga M. Ali, Bret C. Mobley, Nalin Leelatian, Sanjay Bhatia, Murat Gokden, Norman Lehman, Mohammed Ghazal, Ayman El-Baz, Dibson D. Gondim
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Journal of Pathology Informatics
Subjects:
Computer aided diagnosis (CAD)
Histopathology
Meningioma (MEN)
Solitary fibrous tumors (SFT)
Vision transformer (ViT)
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353925000045
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