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Author Notes:

Email: bfei@emory.edu; Website: http://feilab.org.

We thank Ms. Jennifer Shelton from the Pathology Core Lab at Winship Cancer Institute of Emory University for her help in histologic processing.

Subjects:

Research Funding:

This research is supported in part by NIH grants (CA176684 and CA156775) and the Emory Center for Systems Imaging (CSI) of Emory University School of Medicine.

Keywords:

  • 4NQO-induced oral cancer
  • Tongue cancer diagnosis
  • computer aided diagnosis
  • histological image classification
  • random forest
  • squamous cell carcinoma

Quantitative diagnosis of tongue cancer from histological images in an animal model

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Journal Title:

Proceedings of SPIE

Volume:

Volume 9791

Publisher:

Type of Work:

Article | Post-print: After Peer Review

Abstract:

We developed a chemically-induced oral cancer animal model and a computer aided method for tongue cancer diagnosis. The animal model allows us to monitor the progress of the lesions over time. Tongue tissue dissected from mice was sent for histological processing. Representative areas of hematoxylin and eosin stained tissue from tongue sections were captured for classifying tumor and non-Tumor tissue. The image set used in this paper consisted of 214 color images (114 tumor and 100 normal tissue samples). A total of 738 color, texture, morphometry and topology features were extracted from the histological images. The combination of image features from epithelium tissue and its constituent nuclei and cytoplasm has been demonstrated to improve the classification results. With ten iteration nested cross validation, the method achieved an average sensitivity of 96.5% and a specificity of 99% for tongue cancer detection. The next step of this research is to apply this approach to human tissue for computer aided diagnosis of tongue cancer.

Copyright information:

© 2016 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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