Negm Ahmed E-S, Kandil Ahmed H, Hassan Osama A E-F
Systems and Biomedical Engineering Department, High Institutes of Engineering, Al Shorouk Academy, Al Shorouk city, Cairo, Egypt.
Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt.
Curr Med Imaging Rev. 2017 Feb;13(1):89-98. doi: 10.2174/1573405612666160519124752.
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.
弥漫性淋巴瘤是一种淋巴组织恶性肿瘤。它与淋巴细胞的异常、无限制和不受控制的增殖有关。到目前为止，专家病理学家一直手动识别弥漫性淋巴瘤细胞疾病。本文介绍了一种具有友好用户界面的自动系统，用于区分弥漫性淋巴瘤细胞的类别。本研究基于大小、周长和圆形度等形态特征。根据国际制定标准，细胞大小是弥漫性淋巴瘤分类的关键要素。因此，所应用的程序可识别数字显微镜图像中的淋巴细胞群体。根据每个细胞的特征，如圆形度、周长、面积和颜色密度，利用其形态学数据对细胞进行分类。所开发的方法考虑了细胞数量。图像处理技术应用于数字显微镜图像，以测量形态学参数，并克服影响测量数据敏感性的图像问题，如重叠和细胞变形。所开发的程序有助于病理学家对弥漫性淋巴瘤的分类做出决策。此外，它还可用于培训医学生和年轻病理学家。
