Microscopic examination of peripheral blood smears and bone marrow is the preliminary step for the diagnosis of several life-threatening diseases. Acute lymphocytic leukemia (ALL) is the most common disease in children that also needs an early diagnosis for on-time treatment as it spreads rapidly in the blood and forms immature lymphocytes. This might cause death in some weeks if left untreated. Manual methods in clinical laboratory being applied for the diagnosis of these diseases are inefficient and expensive, and the results are less accurate. A computer-aided system is the need of the day in which the most important step is segmenting the region of interest in blood or bone marrow for the detection and cure of the diseases which is the most challenging task. This study aims to propose a simple threshold-based segmentation technique by processing the S component of the HSV color space to segment the lymphoblasts in the bone marrow images of ALL patients. The technique was applied to 230 RGB bone marrow images having all the three types of ALL, i.e., L1, L2, and L3 resulted in the overall accuracy of 96.8%.

中文翻译：

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急性淋巴细胞白血病中淋巴母细胞的有效分割

显微镜检查外周血涂片和骨髓是诊断几种威胁生命的疾病的第一步。急性淋巴细胞性白血病（ALL）是儿童中最常见的疾病，由于它在血液中迅速扩散并形成未成熟的淋巴细胞，因此也需要及早诊断以进行及时治疗。如果不及时治疗，可能会在几周内导致死亡。用于这些疾病的诊断的临床实验室中的手动方法效率低下且昂贵，并且结果不太准确。当今需要计算机辅助系统，其中最重要的步骤是分割血液或骨髓中的目标区域，以检测和治愈最具有挑战性的疾病。这项研究旨在通过处理HSV色彩空间的S分量来分割ALL患者骨髓图像中的淋巴母细胞，提出一种基于阈值的简单分割技术。将该技术应用于具有所有三种ALL类型（即L1，L2和L3）的230张RGB骨髓图像，其总体准确性为96.8％。