ArticleJournal of biophotonics2018
Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis.
Article in Journal of biophotonics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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
20 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
- A narrative review on machine learning in diagnosis and prognosis prediction for tongue squamous cell carcinoma.Translational cancer research · 2022Review
- Visible near-infrared hyperspectral imaging and supervised classification for the detection of small intestinal necrosis tissue in vivo.Biomedical optics express · 2022Article
- Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery-A Pilot Study.Cancers · 2022Article
- The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer.Oral oncology · 2021Review
- Pixel-level Tumor Margin Assessment of Surgical Specimen with Hyperspectral Imaging and Deep Learning Classification.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Article
- Identification of oral cancer in OCT images based on an optical attenuation model.Lasers in medical science · 2020Article
- Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery.Clinical and experimental otorhinolaryngology · 2020Review
- Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence.Journal of dental research · 2020Review
- Article
- Applications of hyperspectral imaging in the detection and diagnosis of solid tumors.Translational cancer research · 2020Review
- Mouse Tumor-Bearing Models as Preclinical Study Platforms for Oral Squamous Cell Carcinoma.Frontiers in oncology · 2020Review
- Histopathology Feature Mining and Association with Hyperspectral Imaging for the Detection of Squamous Neoplasia.Scientific reports · 2019Article
- Deep Learning-Based Framework forSensors (Basel, Switzerland) · 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
- Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning andProceedings of SPIE--the International Society for Optical Engineering · 2019Article
- Adaptive deep learning for head and neck cancer detection using hyperspectral imaging.Visual computing for industry, biomedicine, and art · 2019Article
- Tumor Margin Classification of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural Networks.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Optical Biopsy of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural Networks.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Hyperspectral imaging (HSI) holds the potential for the noninvasive detection of cancers. Oral cancers are often diagnosed at a late stage when treatment is less effective and the mortality and morbidity rates are high. Early detection of oral cancer is, therefore, crucial in order to improve the clinical outcomes. To investigate the potential of HSI as a noninvasive diagnostic tool, an animal study was designed to acquire hyperspectral images of in vivo and ex vivo mouse tongues from a chemically induced tongue carcinogenesis model. A variety of machine-learning algorithms, including discriminant analysis, ensemble learning, and support vector machines, were evaluated for tongue neoplasia detection using HSI and were validated by the reconstructed pathological gold-standard maps. The diagnostic performance of HSI, autofluorescence imaging, and fluorescence imaging were compared in this study. Color-coded prediction maps were generated to display the predicted location and distribution of premalignant and malignant lesions. This study suggests that hyperspectral imaging combined with machine-learning techniques can provide a noninvasive tool for the quantitative detection and delineation of squamous neoplasia.
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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.