Automated Detection and Classification of Leukaemia
نویسنده
چکیده
ARTICLE INFO Leukaemia stands for blood cancer that begins in the bone marrow and results in the generation of abnormal cells. Leukaemia is mainly classified as acute lymphoblastic leukaemia (ALL), acute myeloid leukaemia (AML), chronic lymphocytic leukaemia (CLL) and chronic myeloid leukaemia (CML).This thesis makes an effort to devise a methodology for the detection and classification of Leukaemia. The images have been segmented using Marker Controlled Watershed Algorithm. The morphological components of normal and Leukemic lymphocytes differ significantly; hence various features are extracted from the segmented lymphocyte images, for detection purpose. The leukaemia is classified using SVM classifier.
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