ArticleProceedings of SPIE--the International Society for Optical Engineering2015
Estimation of Tissue Optical Parameters with Hyperspectral Imaging and Spectral Unmixing.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Experimental method to assess depth sensing limits of inelastic scattering measurements using spatial-offset Raman spectroscopy imaging.Journal of biomedical optics · 2025Article
- Contactless in vitro detection of carboxyhemoglobin using hyperspectral imaging (HSI).Forensic science, medicine, and pathology · 2025Article
- Real-time multispectral imaging for intraoperative monitoring of coronary artery bypass graft patency.Journal of biomedical optics · 2025Article
- Retina Phantom Model for Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Learnable real-time inference of molecular composition from diffuse spectroscopy of brain tissue.Journal of biomedical optics · 2024Article
- Detection and margin assessment of thyroid carcinoma with microscopic hyperspectral imaging using transformer networks.Journal of biomedical optics · 2024Article
- An Ensemble Learning Method for Detection of Head and Neck Squamous Cell Carcinoma Using Polarized Hyperspectral Microscopic Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Article
- A Video Transformer Network for Thyroid Cancer Detection on Hyperspectral Histologic Images.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Article
- Development of a new polarized hyperspectral imaging microscope.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Retinal oximetry and fractal analysis of capillary maps in sickle cell disease patients and matched healthy volunteers.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020Observational
- Feasibility of hyperspectral analysis for discrimination of rabbit liver VX2 tumor.World journal of gastrointestinal oncology · 2019Article
- Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis.Journal of biophotonics · 2018Article
- A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging.IEEE transactions on bio-medical engineering · 2016Article
- Hyperspectral Imaging of Neoplastic Progression in a Mouse Model of Oral Carcinogenesis.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery.Journal of biomedical optics · 2015Article
- Polarized Hyperspectral Microscopic Imaging for Zebrafish.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Early detection of oral cancer and its curable precursors can improve patient survival and quality of life. Hyperspectral imaging (HSI) holds the potential for noninvasive early detection of oral cancer. The quantification of tissue chromophores by spectral unmixing of hyperspectral images could provide insights for evaluating cancer progression. In this study, non-negative matrix factorization has been applied for decomposing hyperspectral images into physiologically meaningful chromophore concentration maps. The approach has been validated by computer-simulated hyperspectral images and in vivo tumor hyperspectral images from a head and neck cancer animal model.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.