ArticleProceedings of SPIE--the International Society for Optical Engineering2016
Hyperspectral Imaging of Neoplastic Progression in a Mouse Model of Oral Carcinogenesis.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Technological Frontiers in Brain Cancer: A Systematic Review and Meta-Analysis of Hyperspectral Imaging in Computer-Aided Diagnosis Systems.Diagnostics (Basel, Switzerland) · 2024Review
- Deep Learning in Medical Hyperspectral Images: A Review.Sensors (Basel, Switzerland) · 2022Review
- Review on the Application of Hyperspectral Imaging Technology of the Exposed Cortex in Cerebral Surgery.Frontiers in bioengineering and biotechnology · 2022Review
- Hyperspectral imaging and artificial intelligence to detect oral malignancy - part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network.Head & face medicine · 2021Article
- Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support.Journal of clinical medicine · 2020Article
- Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.Journal of biomedical optics · 2019Article
- Adaptive deep learning for head and neck cancer detection using hyperspectral imaging.Visual computing for industry, biomedicine, and art · 2019Article
- Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis.Journal of biophotonics · 2018Article
- Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.PloS one · 2018Article
- Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients.Journal of biomedical optics · 2017Article
- Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.Journal of biomedical optics · 2017Article
- Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Hyperspectral imaging (HSI) is an emerging modality for medical applications and holds great potential for noninvasive early detection of cancer. It has been reported that early cancer detection can improve the survival and quality of life of head and neck cancer patients. In this paper, we explored the possibility of differentiating between premalignant lesions and healthy tongue tissue using hyperspectral imaging in a chemical induced oral cancer animal model. We proposed a novel classification algorithm for cancer detection using hyperspectral images. The method detected the dysplastic tissue with an average area under the curve (AUC) of 0.89. The hyperspectral imaging and classification technique may provide a new tool for oral cancer detection.
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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.