Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides

Ling Ma; Ximing Zhou; James V. Little; Amy Y. Chen; Larry L. Myers; Baran D. Sumer; Baowei Fei

doi:10.1117/12.2581970

15 February 2021 Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides

Ling Ma, Ximing Zhou, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei

Author Affiliations +

Proceedings Volume 11603, Medical Imaging 2021: Digital Pathology; 116030P (2021) https://doi.org/10.1117/12.2581970
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

The purpose of this study is to explore the feasibility of using hyperspectral imaging (HSI) for automatic detection of head and neck squamous cell carcinoma (SCC) in histologic images. Histologic slides from 14 patients with SCC of the larynx, hypopharynx, and buccal mucosa were scanned to train and test an Inception-based two-dimensional convolutional neural network (CNN). The average accuracy, sensitivity and specificity of the HSI patch-based CNN classification were 0.80, 0.82 and 0.78, respectively. The hyperspectral microscopic imaging and proposed classification method provide an automatic tool to aid pathologists in detecting SCC on histologic slides.

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Ling Ma, Ximing Zhou, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, and Baowei Fei "Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides", Proc. SPIE 11603, Medical Imaging 2021: Digital Pathology, 116030P (15 February 2021); https://doi.org/10.1117/12.2581970

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