Dual modality search and retrieval technique analysis for leukemic information system

Medical Information System (MIS) deals with standardized method of collection, storage, retrieval and evaluation of patient data. Computational Intelligence (CI) technique has many abilities in data processing and structuring, pattern matching, forming knowledge base, reasoning and decision making....

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Main Authors:	Rajendran, S., Arof, H., Mokhtar, N., Mubin, M., Yegappan, S., Ibrahim, F.
Format:	Article
Published:	Scientific Research and Essays 2011
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://www.scopus.com/inward/record.url?eid=2-s2.0-79953758219&partnerID=40&md5=08421de11d451d2d7c1dadf07c7d74ff http://www.scopus.com/inward/record.url?eid=2-s2.0-79953758219&partnerID=40&md5=08421de11d451d2d7c1dadf07c7d74ff http://eprints.um.edu.my/6132/1/Dual_modality_search_and_retrieval_technique_analysis_for_leukemic_information_system.pdf

id	um-6132
recordtype	eprints
spelling	um-61322017-11-09T09:02:02Z Dual modality search and retrieval technique analysis for leukemic information system Rajendran, S. Arof, H. Mokhtar, N. Mubin, M. Yegappan, S. Ibrahim, F. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Medical Information System (MIS) deals with standardized method of collection, storage, retrieval and evaluation of patient data. Computational Intelligence (CI) technique has many abilities in data processing and structuring, pattern matching, forming knowledge base, reasoning and decision making. MIS for leukemia cells was developed at University of Malaya for the Hematology Department of Hospital Ampang, Malaysia. CI techniques were used for syntactical and contextual image retrieval of leukemic images. A logical approach was used to systematically develop content based image retrieval system that supports decision making in clinical hematopathology. The developed system is based on open source. Pages were designed and developed using Java Server Pages (JSP) and Java with MySQL as the database for the domain and image repository. Several Java-based tools were used for image processing, neural network based pattern classification and recognition, and for the hybrid system. The classification rates for individual white blood cells varied between 97 for training data and 95 for testing data depending on the individual cell type-monocyte, lymphocyte, eosinophil, basophil and neutrophil. This result is cross-validated by an expert hematologist. Scientific Research and Essays 2011 Article PeerReviewed application/pdf http://eprints.um.edu.my/6132/1/Dual_modality_search_and_retrieval_technique_analysis_for_leukemic_information_system.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-79953758219&partnerID=40&md5=08421de11d451d2d7c1dadf07c7d74ff Rajendran, S.; Arof, H.; Mokhtar, N.; Mubin, M.; Yegappan, S.; Ibrahim, F. (2011) Dual modality search and retrieval technique analysis for leukemic information system. Scientific Research and Essays <http://eprints.um.edu.my/view/publication/Scientific_Research_and_Essays.html>, 6 (2). pp. 247-255. ISSN 1992-2248 http://eprints.um.edu.my/6132/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Rajendran, S. Arof, H. Mokhtar, N. Mubin, M. Yegappan, S. Ibrahim, F. Dual modality search and retrieval technique analysis for leukemic information system
description	Medical Information System (MIS) deals with standardized method of collection, storage, retrieval and evaluation of patient data. Computational Intelligence (CI) technique has many abilities in data processing and structuring, pattern matching, forming knowledge base, reasoning and decision making. MIS for leukemia cells was developed at University of Malaya for the Hematology Department of Hospital Ampang, Malaysia. CI techniques were used for syntactical and contextual image retrieval of leukemic images. A logical approach was used to systematically develop content based image retrieval system that supports decision making in clinical hematopathology. The developed system is based on open source. Pages were designed and developed using Java Server Pages (JSP) and Java with MySQL as the database for the domain and image repository. Several Java-based tools were used for image processing, neural network based pattern classification and recognition, and for the hybrid system. The classification rates for individual white blood cells varied between 97 for training data and 95 for testing data depending on the individual cell type-monocyte, lymphocyte, eosinophil, basophil and neutrophil. This result is cross-validated by an expert hematologist.
format	Article
author	Rajendran, S. Arof, H. Mokhtar, N. Mubin, M. Yegappan, S. Ibrahim, F.
author_facet	Rajendran, S. Arof, H. Mokhtar, N. Mubin, M. Yegappan, S. Ibrahim, F.
author_sort	Rajendran, S.
title	Dual modality search and retrieval technique analysis for leukemic information system
title_short	Dual modality search and retrieval technique analysis for leukemic information system
title_full	Dual modality search and retrieval technique analysis for leukemic information system
title_fullStr	Dual modality search and retrieval technique analysis for leukemic information system
title_full_unstemmed	Dual modality search and retrieval technique analysis for leukemic information system
title_sort	dual modality search and retrieval technique analysis for leukemic information system
publisher	Scientific Research and Essays
publishDate	2011
url	http://www.scopus.com/inward/record.url?eid=2-s2.0-79953758219&partnerID=40&md5=08421de11d451d2d7c1dadf07c7d74ff http://www.scopus.com/inward/record.url?eid=2-s2.0-79953758219&partnerID=40&md5=08421de11d451d2d7c1dadf07c7d74ff http://eprints.um.edu.my/6132/1/Dual_modality_search_and_retrieval_technique_analysis_for_leukemic_information_system.pdf
first_indexed	2018-09-06T05:17:35Z
last_indexed	2018-09-06T05:17:35Z
_version_	1610834043760279552

Dual modality search and retrieval technique analysis for leukemic information system

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