Automated microscopic image analysis for leukocytes identification: A survey |
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Institution: | 1. Department of Mathematics and Computer Science, University of Cagliari, via Ospedale 72, 09124 Cagliari, Italy;2. Hematology, Department of Medical Sciences, University of Cagliari, via Is Guadazzonis 2, 09126 Cagliari, Italy;1. Thapar Uninversity, Patiala 147001, India;2. Thapar University, Patiala 147001, India;1. Delhi Technological University, Delhi, India;2. GGSSS Kaithal, India;3. NIT Hamirpur, India |
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Abstract: | Automatic quantification and classification of leukocytes in microscopic images are of paramount importance in the perspective of disease identification, its progress and drugs development. Extracting numerical values of leukocytes from microscopic images of blood or tissue sections represents a tricky challenge. Research efforts in quantification of these cells include normalization of images, segmentation of its nuclei and cytoplasm followed by their classification. However, there are several related problems viz., coarse background, overlapped nuclei, conversion of 3-D nuclei into 2-D nuclei etc. In this review, we have categorized, evaluated, and discussed recently developed methods for leukocyte identification. After reviewing these methods and finding their constraints, a future research perspective has been presented. Further, the challenges faced by the pathologists with respect to these problems are also discussed. |
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Keywords: | Image preprocessing Leukocytes segmentation Feature extraction Feature selection Classification |
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