ArticleProceedings of SPIE--the International Society for Optical Engineering2025
A high-speed hyperspectral imaging system and large-scale hyperspectral dataset for abdominal surgical applications.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Modern foundation models have shown promise in classification tasks and may be used in medical imaging systems, but the current imaging modalities, such as fluorescence and narrow-band imaging, have drawbacks hindering the ability to generate the large datasets required of current computer vision (CV) models. Hyperspectral imaging (HSI) is a non-invasive and label-free modality and has shown promise in tissue classification and cancer detection. But, to leverage the rich information provided with HSI alongside modern CV architectures, larger datasets must be curated. As such, we have designed an HSI system and workflow to address this gap by allowing for high-throughput
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