Open AccessDetection of Leukemia using Image Processing
Author(s) -
Ali Baig Mohammad,
Paavana Sainath,
Kennedy Babu,
N Chandra Mouli
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7540.129219
Subject(s) - histogram , myeloid leukemia , cancer , artificial intelligence , image (mathematics) , computer science , task (project management) , pattern recognition (psychology) , image processing , stage (stratigraphy) , cancer detection , plot (graphics) , computer vision , medicine , mathematics , cancer research , statistics , biology , engineering , paleontology , systems engineering
In olden days, cancer detection at early stage and its prevention became a difficult task to predict and enhance the stage and efficient image techniques were not available. Due to wrong analysis of cancer presence, patients are treated wrongly. In our method, we detect acute myeloid leukemia effectively. After plotting data from image histogram plot and knowing the segmented region, area of cancer can be obtained by classification of cancer and non-cancer cells. Wrong diagnosis leads to patient’s death, so adequate steps are taken to make diagnosis accurate and to know the features. Effective usage of image tools and regions of infected part are extracted, and detection of cancer based on respective growth of region is observed which is 91 accurate.