@inproceedings{f5a05bdfb21444f78db3aaaf4ad3bd52,
title = "Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth",
abstract = "Head and neck squamous cell carcinoma (SCCa) is primarily managed by surgical resection. Recurrence rates after surgery can be as high as 55% if residual cancer is present. In this study, hyperspectral imaging (HSI) is evaluated for detection of SCCa in ex-vivo surgical specimens. Several methods are investigated, including convolutional neural networks (CNNs) and a spectral-spatial variant of support vector machines. Quantitative results demonstrate that additional processing and unsupervised filtering can improve CNN results to achieve optimal performance. Classifying regions that include specular glare, the average AUC is increased from 0.73 [0.71, 0.75 (95% confidence interval)] to 0.81 [0.80, 0.83] through an unsupervised filtering and majority voting method described. The wavelengths of light used in HSI can penetrate different depths into biological tissue, while the cancer margin may change with depth and create uncertainty in the ground-truth. Through serial histological sectioning, the variance in cancer-margin with depth is also investigated and paired with qualitative classification heat maps using the methods proposed for the testing group SCC patients.",
keywords = "Convolutional neural network, Deep learning, Head and neck cancer, Head and neck surgery, Hyperspectral imaging, Intraoperative imaging, Optical biopsy",
author = "Martin Halicek and Himar Fabelo and Samuel Ortega and Little, {James V.} and Xu Wang and Chen, {Amy Y.} and Callico, {Gustavo Marrero} and Myers, {Larry L.} and Sumer, {Baran D.} and Baowei Fei",
note = "Funding Information: This research was supported in part by the U.S. National Institutes of Health (NIH) grants (R21CA176684, R01CA156775, R01CA204254, and R01HL140325). The authors would like to thank the surgical pathology team at Emory University Hospital Midtown for their help in collecting fresh tissue specimens. Publisher Copyright: {\textcopyright} 2019 SPIE.; Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 17-02-2019 Through 19-02-2019",
year = "2019",
doi = "10.1117/12.2512985",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Baowei Fei and Linte, {Cristian A.}",
booktitle = "Medical Imaging 2019",
}