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Automatic White Blood Cell Segmentation for Detecting Leukemia

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 9)

Abstract

White blood cells are used to detect different diseases infected to human body. The classification and segmentation of white blood cells for detection of leukemia are one of the important and complex steps. It allows detection of acute lymphoblastic leukemia (ALL). Partially automated system do not give accurate results also manual diagnosis process results are depend on operators ability. These problems can be resolved using fully automated system. This system uses computerized segmentation and classification techniques for detection of leukemia accurately and within less time period. Segmentation scheme segment WBC’s into nucleus and cytoplasm, classification is used to classify WBC’s into various as per different characteristics also, features of nucleus and cytoplasm extracted.

Keywords

Image processing White blood cell Acute lymphoblastic leukemia Segmentation Classification RGB (Red Green Blue) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer EngineeringD.Y. Patil Institute of Engineering & TechnologyPimpri, PuneIndia

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