Article

Vision and Language Models for Classifying Maxillary Sinus Disease on Cone-Beam Computed Tomography: A Transparent Multimodal Benchmark

2026-08-12

Abstract excerpt

<h4>Background: </h4> Cone-beam computed tomography (CBCT) frequently captures the maxillary sinuses incidentally, and reliable automated detection of sinus abnormality is clinically relevant. Unlike most vision-language benchmarks in medical imaging, which pair images with pre-existing, human-authored clinical reports, findings text can also be generated directly by a large language model from the image itself--r...

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Literature Corpus work: ac26dac3-7707-56c5-bb8a-c37739fdfa87
DOI: 10.64898/2026.08.11.26360189

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