Publication Type : Conference Proceedings
Publisher : ICVGIP ’14
Source : ICVGIP ’14, ACM, Bangalore (2014)
Url : http://dl.acm.org/citation.cfm?id=2683517
ISBN : 9781450330619
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Center : Research & Projects
Department : Computer Science
Verified : Yes
Year : 2014
Abstract : This paper proposes a framework for classification of label-free, unstained, leukemia cell lines MOLT and K562 in microfluidics based Imaging Flow Cytometry (IFC). These two cell lines differ in their internal cell complexity in an IFC image. Each cell is localized by finding a closed cell membrane binding internal organelles. An existing non-iterative graph based contour detection algorithm is extended and is effectively used to segment out the cells. Features reflecting the size, circularity and internal cell complexity are extracted and used for classification using linear Support Vector Machine.
Cite this Research Publication :
Gopakumar G, Subrahmanyam, G. R. K. Sai, and Siva, G. Sai, “Morphology based Classification of Leukemia Cell lines: K562 and MOLT in a Microfluidics based Imaging Flow Cytometer”, ICVGIP ’14. ACM, Bangalore, 2014