Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models

Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. Whole Slide Imaging (WSI) has emerged as a promising tool for developing a...

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Bibliographic Details
Main Authors: Vasundhara Acharya, Bülent Yener, Gillian Beamer
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Whole slide imaging
Graph neural networks
Cell graphs
Knowledge distillation
Non-neural models
Tuberculosis
Online Access:https://doi.org/10.1038/s41598-025-13697-7
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https://doi.org/10.1038/s41598-025-13697-7

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