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• W67791319 abstract "Microscopic analysis of peripheral blood smear is a critical step in detection of leukemia.However, this type of light microscopic assessment is time consuming, inherently subjective, and is governed by hematopathologists clinical acumen and experience. Tocircumvent such problems, an efficient computer aided methodology for quantitative analysis of peripheral blood samples is required to be developed. In this thesis, efforts are therefore made to devise methodologies for automated detection and subclassification of Acute Lymphoblastic Leukemia (ALL) using image processing and machine learning methods.Choice of appropriate segmentation scheme plays a vital role in the automated disease recognition process. Accordingly to segment the normal mature lymphocyte and malignant lymphoblast images into constituent morphological regions novel schemes have been proposed. In order to make the proposed schemes viable from a practical and real–time stand point, the segmentation problem is addressed in both supervised and unsupervised framework. These proposed methods are based on neural network,feature space clustering, and Markov random field modeling, where the segmentation problem is formulated as pixel classification, pixel clustering, and pixel labelingproblem respectively. A comprehensive validation analysis is presented to evaluate the performance of four proposed lymphocyte image segmentation schemes against manualsegmentation results provided by a panel of hematopathologists. It is observed that morphological components of normal and malignant lymphocytes differ significantly. To automatically recognize lymphoblasts and detect ALL in peripheral blood samples, an efficient methodology is proposed.Morphological, textural and color features are extracted from the segmented nucleus and cytoplasm regions of the lymphocyte images. An ensemble of classifiers represented as EOC3 comprising of three classifiers shows highest classification accuracy of 94.73% in comparison to individual members. The subclassification of ALL based on French–American–British (FAB) and WorldHealth Organization (WHO) criteria is essential for prognosis and treatment planning. Accordingly two independent methodologies are proposed for automated classification of malignant lymphocyte (lymphoblast) images based on morphology and phenotype. These methods include lymphoblast image segmentation, nucleus and cytoplasm feature extraction, and efficient classification." @default.
• W67791319 created "2016-06-24" @default.
• W67791319 creator A5076599100 @default.
• W67791319 date "2013-10-01" @default.
• W67791319 modified "2023-09-27" @default.
• W67791319 title "Hematological image analysis for acute lymphoblastic leukemia detection and classification" @default.
• W67791319 cites W116468358 @default.
• W67791319 cites W119647682 @default.
• W67791319 cites W136322808 @default.
• W67791319 cites W1465404078 @default.
• W67791319 cites W1484828659 @default.
• W67791319 cites W1490760466 @default.
• W67791319 cites W1493185185 @default.
• W67791319 cites W1498373892 @default.
• W67791319 cites W1501023496 @default.
• W67791319 cites W1509508444 @default.
• W67791319 cites W1524146737 @default.
• W67791319 cites W1532221965 @default.
• W67791319 cites W1535386177 @default.
• W67791319 cites W1554544485 @default.
• W67791319 cites W155685019 @default.
• W67791319 cites W1562347861 @default.
• W67791319 cites W1565377632 @default.
• W67791319 cites W1567574140 @default.
• W67791319 cites W1573916009 @default.
• W67791319 cites W1587157779 @default.
• W67791319 cites W1587362683 @default.
• W67791319 cites W1605337581 @default.
• W67791319 cites W1651266332 @default.
• W67791319 cites W1668690069 @default.
• W67791319 cites W1678695179 @default.
• W67791319 cites W1680392829 @default.
• W67791319 cites W1855906352 @default.
• W67791319 cites W1875586258 @default.
• W67791319 cites W1935106270 @default.
• W67791319 cites W1971784203 @default.
• W67791319 cites W1972544340 @default.
• W67791319 cites W1972856592 @default.
• W67791319 cites W1974467617 @default.
• W67791319 cites W1980028072 @default.
• W67791319 cites W1983626406 @default.
• W67791319 cites W1984581064 @default.
• W67791319 cites W1985138828 @default.
• W67791319 cites W1985702987 @default.
• W67791319 cites W1986920257 @default.
• W67791319 cites W1987149779 @default.
• W67791319 cites W1988445395 @default.
• W67791319 cites W1989493752 @default.
• W67791319 cites W1990368529 @default.
• W67791319 cites W1992419399 @default.
• W67791319 cites W1992566416 @default.
• W67791319 cites W1994334984 @default.
• W67791319 cites W1996221659 @default.
• W67791319 cites W2002278745 @default.
• W67791319 cites W2003367302 @default.
• W67791319 cites W2004716679 @default.
• W67791319 cites W2007750032 @default.
• W67791319 cites W2008689893 @default.
• W67791319 cites W2009543464 @default.
• W67791319 cites W2011503872 @default.
• W67791319 cites W2015790018 @default.
• W67791319 cites W2018793652 @default.
• W67791319 cites W2018924278 @default.
• W67791319 cites W2019941622 @default.
• W67791319 cites W2020705526 @default.
• W67791319 cites W2020999234 @default.
• W67791319 cites W2022306346 @default.
• W67791319 cites W2022533018 @default.
• W67791319 cites W2022536535 @default.
• W67791319 cites W2025666947 @default.
• W67791319 cites W2026591771 @default.
• W67791319 cites W2027123781 @default.
• W67791319 cites W2029640513 @default.
• W67791319 cites W2031776474 @default.
• W67791319 cites W2036099935 @default.
• W67791319 cites W2036416506 @default.
• W67791319 cites W203866313 @default.
• W67791319 cites W2039457043 @default.
• W67791319 cites W2040109354 @default.
• W67791319 cites W2040223249 @default.
• W67791319 cites W2042864409 @default.
• W67791319 cites W2043257938 @default.
• W67791319 cites W2046853755 @default.
• W67791319 cites W2050642249 @default.
• W67791319 cites W2055027051 @default.
• W67791319 cites W2056811929 @default.
• W67791319 cites W2058956091 @default.
• W67791319 cites W2060542593 @default.
• W67791319 cites W2064104459 @default.
• W67791319 cites W2065945697 @default.
• W67791319 cites W2068936243 @default.
• W67791319 cites W2072883612 @default.
• W67791319 cites W2076227401 @default.
• W67791319 cites W2076426515 @default.
• W67791319 cites W2076470464 @default.
• W67791319 cites W2077696460 @default.
• W67791319 cites W2077915271 @default.
• W67791319 cites W2081190862 @default.
• W67791319 cites W2086129989 @default.
• W67791319 cites W2086472667 @default.

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