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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,...
Guardado en:
| Publicado en: | Vis Comput Ind Biomed Art |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer Singapore
2019
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| Materias: | |
| Acceso en línea: | 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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