نتایج جستجو برای: blood smear images
تعداد نتایج: 947568 فیلتر نتایج به سال:
A microscopic examination of an appropriately prepared and well-stained blood smear by a knowledgeable laboratory professional is necessary and clinically useful in a number of circumstances and for a variety of reasons. In this article, an attempt is made to delineate the purpose and criteria for blood smear examination in a variety of circumstances that are encountered in everyday laboratory ...
White blood cell (WBC) segmentation, which is important for cytometry, is a challenging issue because of the morphological diversity of WBCs and the complex and uncertain background of blood smear images. This paper proposes a novel method for the nucleus and cytoplasm segmentation of WBCs for cytometry. A color adjustment step was also introduced before segmentation. Color space decomposition ...
acute myelogenous leukemia (aml) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blastsin the bone marrow. careful microscopic examination of stained blood smear or bone marrow aspirate is still the most significantdiagnostic methodology for initial aml screening and considered as the first step toward diagnosis. it is time-consuming and dueto the elusive n...
Classical image processing methods often face great difficulties while dealing with images containing noise and distortions. Under such conditions, the use of soft computing approaches has been recently extended to address challenging real-world image processing problems. The automatic detection of Leukocytes or White Blood Cells (WBC) still remains as an unsolved issue in medical imaging. The ...
The complexity of the cell structure and high overlap causes poor image contrast. Complex imaging factors in lighting differences, dye concentrations, other variables such as drying air, excess blood, mucus, bacteria, or inflammation can make automatic visual interpretation more difficult. This study proposes an approach model by combining basic processing techniques deep learning for segmentat...
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