Review on technical aspects of image acquisition, analysis and retrieval for leukaemia cells

Rajendran, S. and Arof, Hamzah and Ibrahim, Fatimah and Yegappan, S. (2008) Review on technical aspects of image acquisition, analysis and retrieval for leukaemia cells. In: 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008, 2008, Kuala Lumpur.

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Abstract

This paper reviews the technical aspects of the state-of-art techniques and procedures for image acquisition, pre-processing, image processing and analysis, search and retrieval techniques for leukaemia blood cell images. Hospital Ampang gets a fair amount of leukaemia cases every year but the hematology department of Hospital Ampang lacks the digital format of patient management system and leukaemia images storage and retrieval system. So, a survey on technical aspects of acquisition, analysis and retrieval was conducted to propose and develop patient management system and leukaemia diagnosis support system for Hospital Ampang, Malaysia. © 2008 Springer-Verlag.

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	Conference code: 82241 Cited By (since 1996):1 Export Date: 29 January 2014 Source: Scopus doi: 10.1007/978-3-540-69139-6-60 Language of Original Document: English Correspondence Address: Rajendran, S.; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia; email: getshobika@yahoo.com References: Demir, C., Bülent, Y., (2005) Automated Cancer Diagnosis Based on Histopathological Images: A Systematic Survey, , Technical report, Rensselaer Polytechnic Institute, Department of Computer Science, tr-05-09; Hengen, H., Spoor, S., Pandit, M., Analysis of Blood and Bone Marrow Smears using Digital Image Processing Techniques (2002) SPIE Medical Imaging, 4684, pp. 624-635. , San Diego; Katz, A.R.J., (2000) Image Analysis and Supervised Learning in the Automated Differentiation of White Blood Cells from Microscopic Images, , Thesis written for the degree of Master of Applied Science in Information Technology, RMIT University, Melbourne, Australia; Katz, A.R.J., Real-Time Imaging (2004) Imaging in Bioinformatics, 10 (4 SPEC. ISSUE), pp. 205-216. , August - Part III; Kim, K.S., Kim, P.K., Song, J.J., Park, Y.C., Analyzing Blood Cell Image to distinguish its abnormalities (2000) Multimedia, , ACM Los Angeles, CA USA; Björn, N., Hyden, A., Segmentation of dense leukocyte clusters (2001) Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01), USA, p. 221; Zheng, L., Arthur Wetzel, W., Gilbertson, J., Michael Becich, J., Design and analysis of a Content-Based Pathology Image Retrieval (2003) IEEE Transactions on Information Technology in Biomedicine, 7 (4), pp. 249-255; www.makna.org.my/NCR/documents/LaunchingPresentation/Leukaemia.ppt, NCRMüller, H., Michoux, N., Bandon, D., Geissbuhler, A., A Review of Content-based Image Retrieval Systems in Medical applications -Clinical Benefits and Future Direction (2004) International Journal of Medical Informatics, 73, pp. 1-23; Rozenberg, G., (2003) Microscopic Haematology - A Practical Guide to Laboratory, , second edition, Martin Dunitz, London, United Kingdom; Bishop, C.M., (1996) Neural Networks for Pattern Recognition, , Oxford University Press Inc, United Kingdom; Yan, P., Yu, J., Ali, H.R., Thomas Potok, E., Semantic-Based Information Retrieval of Biomedical Data, Symposium on Applied Computing (2006) Proceedings of the 2006 ACM Symposium on Applied Computing, Dijon, France; Sabino, D.M.U., Costa, L.F., Martins, S.L.R., Zago, M.A., Automatic Leukaemia Diagnosis (2003) ACTA- Microscopica, 12 (1), pp. 1-6. , AB, Canada; Luger, G.F., (2002) Artificial Intelligence-Structures and Strategies for Complex Problem Solving, , Fourth edition, Pearson Education Limited, NY, USA; Walker, R.F., (1997) Adaptive Multi-Scale Texture Analysis with Application to Automated Cytology, , PhD thesis, The University of Queensland; Walker, Ross Francis (2007) International Journal of Gynecological Cancer, 17 (1), p. 118. , January/February -; Udipi, V.R., Deshpande, A.V., Inamdar, H.P., Classification of Agranulocytes using Neural Network (2004) Proceeding (452) Visualization, Imaging, and Image Processing, , ACTA press, AB, Canada; Dechter, R., (2003) Constraint Processing, , Morgan Kaufmann, CA, USA; Wang, C., Jing, F., Zhang, L., Zhang, H.-J., Scalable search-based image annotation of personal images (2006) International Multimedia Conference, Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, CA, USA; Urban, J., Joeman, J.M., Adaptive Image Retrieval using a Graph Model for Semantic Feature Integration (2006) International Multimedia Conference, Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, Santa Barbara, California USA; Liu, Y., Lazar, N.A., Rothfus, W.E., Semantic-based Biomedical Indexing and Retrieval. Supported by NIST and NIH instates (2004) Trends and Advances in Content-Based Image and Video Retrieval, , Shapiro, Kriegel, and Veltkamp, ed
Uncontrolled Keywords:	Computational Intelligence, Diagnostic Aid System, Leukaemia, Medical Image Retrieval, Visual Information Retrieval, Artificial intelligence, Biomedical engineering, Blood, Hospitals, Image acquisition, Image retrieval, Management, Medical imaging
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering
Depositing User:	Mr Jenal S
Date Deposited:	02 Apr 2014 01:33
Last Modified:	11 Oct 2018 03:39
URI:	http://eprints.um.edu.my/id/eprint/9345

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