Discrimination of malignant lymphomas and leukemia using Radon transform based-higher order spectra

Yi Luo; Mehmet Celenk; Prashanth Bejai

doi:10.1117/12.654288

16 March 2006 Discrimination of malignant lymphomas and leukemia using Radon transform based-higher order spectra

Yi Luo, Mehmet Celenk, Prashanth Bejai

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61445K (2006) https://doi.org/10.1117/12.654288
Event: Medical Imaging, 2006, San Diego, California, United States

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.

Citation Download Citation

Yi Luo, Mehmet Celenk, and Prashanth Bejai "Discrimination of malignant lymphomas and leukemia using Radon transform based-higher order spectra", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445K (16 March 2006); https://doi.org/10.1117/12.654288

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