ArticleProceedings of SPIE--the International Society for Optical Engineering
Optical Biopsy of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural Networks.
Article in Proceedings of SPIE--the International Society for Optical Engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- 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
- Intraoperative In Vivo Imaging Modalities in Head and Neck Cancer Surgical Margin Delineation: A Systematic Review.Cancers · 2022Review
- Comparison of Whiskbroom and Pushbroom darkfield elastic light scattering spectroscopic imaging for head and neck cancer identification in a mouse model.Analytical and bioanalytical chemistry · 2021Article
- Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas: A Pilot Study.Acta dermato-venereologica · 2021Article
- Comprehensive review of surgical microscopes: technology development and medical applications.Journal of biomedical optics · 2021Review
- Current applications of artificial intelligence for intraoperative decision support in surgery.Frontiers of medicine · 2020Review
- 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
- Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review.Journal of imaging · 2019Review
- Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.Journal of biomedical optics · 2019Article
- Cancer Detection Using Hyperspectral Imaging and Evaluation of the Superficial Tumor Margin Variance with Depth.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
- 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
8 authors.
Funding
Abstract
Successful outcomes of surgical cancer resection necessitate negative, cancer-free surgical margins. Currently, tissue samples are sent to pathology for diagnostic confirmation. Hyperspectral imaging (HSI) is an emerging, non-contact optical imaging technique. A reliable optical method could serve to diagnose and biopsy specimens in real-time. Using convolutional neural networks (CNNs) as a tissue classifier, we developed a method to use HSI to perform an optical biopsy of
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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.