Exploring the feasibility of AI-based analysis of histopathological variability in salivary gland tumours

Exploring the feasibility of AI-based analysis of histopathological variability in salivary gland tumours

Abstract This study uses artificial intelligence (AI) for differentiation between salivary gland tumours (SGT) using digitised Haematoxylin and Eosin stained whole-slide images (WSI). Machine learning (ML) classifiers were developed and tested using 320 scanned WSI. These included a benign versus ma...

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Bibliographic Details
Main Authors: Ibrahim Alsanie, Adam Shephard, Neda Azarmehr, Pablo Vargas, Miranda Pring, Nasir M. Rajpoot, Syed Ali Khurram
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Salivary gland tumours
Artificial intelligence
Machine learning
Deep learning
Image analysis
Histopathology
Online Access:https://doi.org/10.1038/s41598-025-15249-5
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