Article

SIGNAL: A Scalable, Real-World Model for Rapid Intraoperative Molecular Classification of Gliomas Using Stimulated Raman Histology

2026-05-13

Abstract excerpt

<h4>Background</h4> Previous machine learning models to intraoperatively predict the molecular status of gliomas using stimulated Raman histology (SRH), such as DeepGlioma, have achieved high performance (91.5% accuracy) on curated datasets. However, when used intraoperatively, DeepGlioma (162M parameters) runs slowly on current SRH hardware and underperforms due to its lack of an image rejection mechanism and it...

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Literature Corpus work: 72491215-7d49-5b81-be97-4f5ac786cf24
DOI: 10.64898/2026.05.11.26350247

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