Classification of Elastic and Collagen Fibers in H&E Stained Hyperspectral Images.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Published Date:

Abstract

This study investigates the classification performance of elastic and collagen fibers using H&E stained hyperspectral images. As many as 1200 sample pixels were trained by using Linear discriminant analysis (LDA) and support vector machine (SVM) methods for reduction and classification. The classification result both using LDA and SVM show that H&E stained hyperspectral images performed better classification than H&E stained RGB image by comparing the classification of EVG stained images visually and quantitatively.

Authors

  • Lina Septiana
  • Hiroyuki Suzuki
    Department of Chest Surgery, Fukushima Medical University, Fukushima, Japan.
  • Masahiro Ishikawa
  • Takashi Obi
  • Naoki Kobayashi
    Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto 860-8556, Japan (T.N., N.Y., N.K., Y.N., H.U., M.K., S.O., T.H.).
  • Nagaaki Ohyama
  • Erning Wihardjo
  • Dini Andiani