Acute Mylogenous Leukemia Detection in Blood Microscopic Images
Keywords:
Segmentation, filtering techniques, K-Means clustering algorithmAbstract
Image Processing and Analysis can be defined as the act of examining images for the purpose of identifying objects and judging their significance. In current days, image processing techniques are widely used in many medical areas for improving earlier detection and treatment stages. The microscopic images of the blood cells are observed to find out many diseases. Changes in the blood condition show the development of diseases in an individual. Leukemia can lead to death if it is left untreated. Leukemia is detected only by analyzing the white blood cells. So our study is focused only on the white blood cells (WBCs). In a manual method of Leukemia detection, experts check the microscopic images. This is lengthy and time taking process which depends on the person’s skill and not having a standard accuracy. In this paper we are focusing, automated approach of leukemia detection. The automated Leukemia detection system analyses the microscopic image it extracts the required parts of the images and applies some filtering techniques. K-means clustering approach is used for white blood cells detection.
References
Kisung Lee, Anna V. Danilina, Matti Kinnunen, Alexander V. Priezzhev, And Igor Meglinski, Senior Member, IEEE- Probing The Red Blood Cells Aggregating Force With Optical Tweezers, IEEE Journal Of Selected Topics In Quantum Electronics, Vol. 22, No. 3, May/June 2016
Shuang Qiu, Nai J. Ge, Dong K. Sun, Sheng Zhao, Jian F. Sun∗, Zhao B. Guo, Ke Hu, And Ning Gu- Synthesis And Characterization Of Magnetic Polyvinyl Alcohol (Pva) Hydrogel Microspheres For The Embolization Of Blood Vessel, IEEE Transactions On Biomedical Engineering, Vol. 63, No. 4, April 2016
Acharya, Student Member, IEEE, Sriparna Saha, Member, IEEE, And Yamini Thadisina- Multiobjective Simulated Annealing-Based Clustering Of Tissue Samples For Cancer Diagnosis,IEEE Journal Of Biomedical And Health Informatics,Vol.20.No.2.March2016
Kisung Lee, Anna V. Danilina, Matti Kinnunen, Alexander V. Priezzhev, And Igor Meglinski, Senior Member, IEEE- Probing The Red Blood Cells Aggregating Force With the Optical Tweezers, IEEE Journal Of Selected Topics In Quantumelectronics,Vol.22.No.3, May/June2016
Patiwet Wuttisarnwattana, Madhusudhana Gargesha, Wouter Van't Hof, Kenneth R. Cooke, And David L. Wilson*― Automatic Stem Cell Detection In Microscopic Whole Mouse Cryo-Imaging, IEEE Transactions On Medical Imaging, Vol.35.No.3,March2016
Eluru, Rajesh Srinivasan, And Sai Siva Gorthi- Deformability Measurement Of Single-Cells At High-Throughput With Imaging Flow Cytometry, Journal Of Lightwave Technology, Vol. 33, No. 16, August 15, 2015
Manuel Gonzalez´-Hidalgo, F. A. Guerrero-Pena,˜ S. Herold-Garc´Ia, Antoni Jaume-I-Capo,´ And P. D. Marrero-Fernandez´- Red Blood Cell Cluster Separation From Digital Images For Use In Sickle Cell Disease, IEEE Journal Of Biomedical And Health Informatics, Vol. 19, No. 4, July 2015
Chih-Chung Chen, Yu-An Chen, And Da-Jeng Yao* Centrifugal Filter Device For Detection Of Rare Cells With Immuno-Binding, IEEE Transactions On Nanobioscience, Vol. 14, No. 8, December 2015
Agaian S., Madhukar M., And Chronopoulos A.T. ―Automated Screening System For Acute Myelogenous Leukemia Detection In Blood Microscopic Images‖, IEEE Systems Journal, 2014, Vol. 8, No. 3.
Chun-Li Chang, Shadia I. Jalal, Wanfeng Huang, Aamer Mahmood, Member, IEEE, Daniela E. Matei, And Cagri A. Savran, High-Throughput Immunomagnetic Cell Detection Using A Microaperture Chip System, IEEE Sensors Journal, Vol. 14, No. 9, September 2014
S.Agaian, M. Madhukar And A. Chronopoulos“Automated Screening System For Acute Myelogenous Leukemia Detection In Blood Microscopic Images,” In Proc. IEEE Journal, 2014.
C. Lopez And S. Agaian, ―Iterative Local Color Normalization Using Fuzzy Image Clustering,‖ In Proc. Spie, Mobile Multim./Image Process., Security, Appl., 2013, Vol. 8755, Pp. 87
Dong Ping Tian, “A Review On Image Feature Extraction And Representation Techniques,”In International Journal Of Multimedia And Ubiquitous Engineering,Vol. 8, No. 4, July, 2013,Pp.385-396
Ms. Minal D. Joshi And Prof. A.H.Karode , “Detection Of Acute Leukemia Using White Blood Cells Segmentation Based On Blood Samples”, Ijecet Volume 4, May June, 2013
D. Mandal, K. Panetta, And S. Agaian, ―Face Recognition Based On Logarithmic Local Binary Patterns,‖ In Proc. Spie, Image Process., Algorithmssyst. Xi, 2013, Vol. 8655, Pp.14-12.
Leyza Baldo Dorini, Rodrigo Minetto, And Neucimar Jeronimoˆ Leite- Semiautomatic White Blood Cell Segmentation Based On Multiscale Analysis, IEEE Journal Of Biomedical And Health Informatics, Vol. 17, No. 1, January 2013
Halim Nha, Mashor My, Hassan R. Automatic Blasts Counting For Acute Leukemia Based On Blood Samples. Int J Res Rev Comput Sci 2011;2(August(4)).
Madhloom Ht, Kareem Sa, Ariffin H, Zaidan Aa, Alanazi Ho, Zaidan Bb. Anautomated White Blood Cell Nucleus Localization And Segmentation Using Imagearithmetic And Automated Threshold. J Appl Sci 2010;10(11):959–66.
Guieb, E. C., And Samaneigo. J. M.-Image Noise Reduction Using Cellular Automata. Cmsc 190 Special Problem, Institute Of Computer Science.2007
N. T. Umpon. Patch based white blood cell nucleus segmentation using fuzzy clustering. ECTI Transaction Electrical Electronics Communications, 3(1):5–10, 2005.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
