Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

Abstract 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. Spec...

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Bibliographic Details
Main Authors: Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen, Baowei Fei
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Hyperspectral imaging
Deep learning
Adaptive learning
Noninvasive cancer detection
Online Access:http://link.springer.com/article/10.1186/s42492-019-0023-8

Internet

http://link.springer.com/article/10.1186/s42492-019-0023-8

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