Open AccessDetection of Leukemia Using Machine Learning Algorithms
Author(s) -
K. P. Jayavikash,
P. Gopinath,
U. Nandheeswaran,
R. Sivabalan,
T. Divya Bharathi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012220
Subject(s) - leukemia , classifier (uml) , artificial intelligence , computer science , blood smear , pattern recognition (psychology) , computer vision , machine learning , medicine , pathology , immunology , malaria
Detection of disorders of Blood usually include visual inspection through a microscope. This may help to classify various conditions related to human blood. The paper details about evolving a system that could help in diagnosis and detection of Leukemia at an early stage. Only then controlling and prevention can be done. The proposed system focuses on White Blood Cells as they are the affected ones in case of Leukemia. The affected cells differ in shape and color features, which are used as classifier inputs.