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Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging
Surgical cancer resection requires an accurate and timely diagnosis of the cancer margins in order to achieve successful patient remission. Hyperspectral imaging (HSI) has emerged as a useful, noncontact technique for acquiring spectral and optical properties of tissue. A convolutional neural networ...
Gorde:
| Argitaratua izan da: | J Biomed Opt |
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| Egile Nagusiak: | , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Society of Photo-Optical Instrumentation Engineers
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5482930/ https://ncbi.nlm.nih.gov/pubmed/28655055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.22.6.060503 |
| Etiketak: |
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