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Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features

  • Jiawen Yao
  • Dheeraj Ganti
  • Xin Luo
  • Guanghua Xiao
  • Yang Xie
  • Shirley Yan
  • Junzhou Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9352)

Abstract

In this paper, we proposed a computer-aided diagnosis and analysis for a challenging and important clinical case in lung cancer, i.e., differentiation of two subtypes of Non-small cell lung cancer (NSCLC). The proposed framework utilized both local and topological features from histopathology images. To extract local features, a robust cell detection and segmentation method is first adopted to segment each individual cell in images. Then a set of extensive local features is extracted using efficient geometry and texture descriptors based on cell detection results. To investigate the effectiveness of topological features, we calculated architectural properties from labeled nuclei centroids. Experimental results from four popular classifiers suggest that the cellular structure is very important and the topological descriptors are representative markers to distinguish between two subtypes of NSCLC.

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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Jiawen Yao
    • 1
  • Dheeraj Ganti
    • 1
  • Xin Luo
    • 2
  • Guanghua Xiao
    • 2
  • Yang Xie
    • 2
  • Shirley Yan
    • 3
  • Junzhou Huang
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of Texas at ArlingtonArlingtonUSA
  2. 2.Department of Clinical ScienceThe University of Texas Southwestern Medical CenterDallasUSA
  3. 3.Department of PathologyThe University of Texas Southwestern Medical CenterDallasUSA

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