ArticleProceedings of SPIE--the International Society for Optical Engineering2014
Spectral-Spatial Classification Using Tensor Modeling for Cancer Detection with Hyperspectral Imaging.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 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
- Digital Dermatopathology of Scabies: HE-Compatible VIS-NIR Hyperspectral Imaging as a Label-Free Proof-of-Concept Approach.Bioengineering (Basel, Switzerland) · 2025Article
- Proof-of-Concept Study: Hyperspectral Imaging for Quantification of DKK-3 Expression in Oropharyngeal Carcinoma.Bioengineering (Basel, Switzerland) · 2025Article
- 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
- Tumor cell identification and classification in esophageal adenocarcinoma specimens by hyperspectral imaging.Scientific reports · 2022Article
- 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
- Development of a new polarized hyperspectral imaging microscope.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Article
- In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.Cancers · 2019Review
- Adaptive deep learning for head and neck cancer detection using hyperspectral imaging.Visual computing for industry, biomedicine, and art · 2019Article
- SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples.Sensors (Basel, Switzerland) · 2018Article
- Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis.Journal of biophotonics · 2018Article
- Detecting brain tumor in pathological slides using hyperspectral imaging.Biomedical optics express · 2018Article
- Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.PloS one · 2018Article
- Hyperspectral Imaging and K-Means Classification for Histologic Evaluation of Ductal CarcinomaFrontiers in oncology · 2018Article
- Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients.Journal of biomedical optics · 2017Article
- Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2017Article
- Deep Learning based Classification for Head and Neck Cancer Detection with Hyperspectral Imaging in an Animal Model.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- 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
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
As an emerging technology, hyperspectral imaging (HSI) combines both the chemical specificity of spectroscopy and the spatial resolution of imaging, which may provide a non-invasive tool for cancer detection and diagnosis. Early detection of malignant lesions could improve both survival and quality of life of cancer patients. In this paper, we introduce a tensor-based computation and modeling framework for the analysis of hyperspectral images to detect head and neck cancer. The proposed classification method can distinguish between malignant tissue and healthy tissue with an average sensitivity of 96.97% and an average specificity of 91.42% in tumor-bearing mice. The hyperspectral imaging and classification technology has been demonstrated in animal models and can have many potential applications in cancer research and management.
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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.