Mean Corpuscular Volume Evaluation for Differential Diagnosis of Myelodysplastic Syndrome and Megaloblastic Anemia: A Study of 130 Patients

Yamamoto, Akira; Kambara, Yui; Urata, Tomohiro; Kuroi, Taiga; Masunari, Taro; Sezaki, Nobuo; Kiguchi, Toru

doi:10.1016/j.clml.2017.07.169

Cited by 1 publication

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“…Megaloblastic anemia is a blood disorder marked by the appearance of very large red cells. As a consequence, erythrocytes do not function fully and therefore displace healthy cells [3]. This entails the appearance of a large number of immature and not fully developed other blood cells.…”

Section: Introductionmentioning

confidence: 99%

Identification of Megaloblastic Anemia Cells Through the Use of Image Processing Techniques

Babker

Lyashenko

2018

IJCBR

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Objective: Our aim is to show the possibility of using different image processing techniques for blood smear analysis. Also our aim is to determine the sequence of image processing techniques to identify megaloblastic anemia cells. Methods: We consider blood smear image. We use a variety of image processing techniques to identify megaloblastic anemia cells. Among these methods, we distinguish the modification of the color space and the use of wavelets. Results: We developed a sequence of image processing techniques for blood smear image analysis and megaloblastic anemia cells identification. As a characteristic feature for megaloblastic anemia cells identification, we consider neutrophil image structure. We also use the morphological methods of image analysis in order to reveal the nuclear lobes in neutrophil structure. Conclusion: We can identify the megaloblastic anemia cells. To do this, we use the following sequence of blood smear image processing: color image modification, change of the image contrast, use of wavelets and morphological analysis of the cell structure.

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Section: Introductionmentioning

confidence: 99%