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Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning
With the goal to screen high-risk populations for oral cancer in low- and middle-income countries (LMICs), we have developed a low-cost, portable, easy to use smartphone-based intraoral dual-modality imaging platform. In this paper we present an image classification approach based on autofluorescenc...
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| izdano v: | Biomed Opt Express |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Optical Society of America
2018
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6238918/ https://ncbi.nlm.nih.gov/pubmed/30460130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.005318 |
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