Title:Decision Support System for Lymphoma Classification
Volume: 13
Author(s): Ahmed E-S. Negm, Ahmed H. Kandil and Osama A. E-F. Hassan
Affiliation:
Keywords:
Decision Support System, Diffuse lymphoma, Morphology, Image processing.
Abstract: The diffuse lymphoma is a malignant tumor of lymphoid tissues. It is associated with abnormal,
unlimited and uncontrolled proliferation of lymphoid cells. Until now, expert pathologists
have identified diffuse lymphoma cells disease manually. This paper introduces automatic system
with a friendly user interface to differentiate between the categories of the diffuse lymphoma cells.
This research is based on the morphological features such as size, perimeter and circularity. The cell
size is a critical element in the classification of diffuse lymphoma according to international formulation
standards. Therefore, the applied procedures identify lymphoid cell population in digital microscopic
images.
The cells are classified using their morphological data according to the characteristics of each cell
such as: circularity, perimeter, area, and color density. The number of cells is taken into consideration
in the developed approach. Image processing techniques are applied to digital microscopic images
to measure morphological parameters and to overcome image problems such as overlapping and
cell distortion that affect the sensitivity of the measured data. The developed procedures help the pathologists
to come to a decision regarding the classification of diffuse lymphoma. Moreover, it can
be used to train medical students and young pathologists.
