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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Detalles Bibliográficos
Autores principales: Ma, Ling, Lu, Guolan, Wang, Dongsheng, Qin, Xulei, Chen, Zhuo Georgia, Fei, Baowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055573/
https://www.ncbi.nlm.nih.gov/pubmed/32190408
http://dx.doi.org/10.1186/s42492-019-0023-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055573/
https://www.ncbi.nlm.nih.gov/pubmed/32190408
http://dx.doi.org/10.1186/s42492-019-0023-8

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