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Proceedings Paper

Discrimination of malignant lymphomas and leukemia using Radon transform based-higher order spectra
Author(s): Yi Luo; Mehmet Celenk; Prashanth Bejai
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Paper Abstract

A new algorithm that can be used to automatically recognize and classify malignant lymphomas and leukemia is proposed in this paper. The algorithm utilizes the morphological watersheds to obtain boundaries of cells from cell images and isolate them from the surrounding background. The areas of cells are extracted from cell images after background subtraction. The Radon transform and higher-order spectra (HOS) analysis are utilized as an image processing tool to generate class feature vectors of different type cells and to extract testing cells' feature vectors. The testing cells' feature vectors are then compared with the known class feature vectors for a possible match by computing the Euclidean distances. The cell in question is classified as belonging to one of the existing cell classes in the least Euclidean distance sense.

Paper Details

Date Published: 16 March 2006
PDF: 10 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445K (16 March 2006); doi: 10.1117/12.654288
Show Author Affiliations
Yi Luo, Ohio Univ. (United States)
Mehmet Celenk, Ohio Univ. (United States)
Prashanth Bejai, Ohio Univ. (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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