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Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detection on hyperspectral images in an animal model. Specifically,...
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| Publicat a: | Vis Comput Ind Biomed Art |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer Singapore
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7055573/ https://ncbi.nlm.nih.gov/pubmed/32190408 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s42492-019-0023-8 |
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