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Matth Kot

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Articles

Deep learning classification of nasal anatomical variants on computed tomography for endoscopic sinus surgery

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By Luis Rita, Luís Rita, Abdul Rafay, Hamideh Kerdegari, Ivan Laponogov, Kyle Higgins, Dennis Veselkov, Issa Beegun, Hesham A. Saleh, Kirill Veselkov, Matth Kot
| Nature Verified
Abstract Endoscopic sinus surgery (ESS) carries risks such as vision loss and intracranial injury due to the proximity of critical structures and unrecognised anatomical variants. We developed convolutional neural networks (CNNs) to detect free-floating anterior ethmoidal arteries (FFAEA), Onodi cells, and Haller cells on coronal sinus CT, and evaluated BioMedCLIP, a biomedical vision-language model (VLM), in a few-shot setting.
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