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Extending UML for Conceptual Modeling of Annotation of Medical Images

by Mouhamed Gaith Ayadi, Riadh Bouslimi, Jalel Akaichi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 10
Year of Publication: 2013
Authors: Mouhamed Gaith Ayadi, Riadh Bouslimi, Jalel Akaichi
10.5120/12529-8948

Mouhamed Gaith Ayadi, Riadh Bouslimi, Jalel Akaichi . Extending UML for Conceptual Modeling of Annotation of Medical Images. International Journal of Computer Applications. 72, 10 ( June 2013), 20-28. DOI=10.5120/12529-8948

@article{ 10.5120/12529-8948,
author = { Mouhamed Gaith Ayadi, Riadh Bouslimi, Jalel Akaichi },
title = { Extending UML for Conceptual Modeling of Annotation of Medical Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 10 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number10/12529-8948/ },
doi = { 10.5120/12529-8948 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:33.537673+05:30
%A Mouhamed Gaith Ayadi
%A Riadh Bouslimi
%A Jalel Akaichi
%T Extending UML for Conceptual Modeling of Annotation of Medical Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 10
%P 20-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Imaging has occupied a huge role in the management of patients, whether hospitalized or not. Depending on the patient's clinical problem, a variety of imaging modalities were available for use. This gave birth of the annotation of medical image process. The annotation is intended to image analysis and solve the problem of semantic gap. The reason for image annotation is due to increase in acquisition of images. Physicians and radiologists feel better while using annotation techniques for faster remedy in surgery and medicine due to the following reasons: giving details to the patients, searching the present and past records from the larger databases, and giving solutions to them in a faster and more accurate way. However, classical conceptual modeling does not incorporate the specificity of medical domain specially the annotation of medical image. The design phase is the most important activity in the successful building of annotation process. For this reason, we focus in this paper on presenting the conceptual modeling of the annotation of medical image by defining a new profile using the StarUML extensibility mechanism.

References
  1. L. K. Barnard, P. Duygulu, D. Forsyth, N. Freitas, D. Blei, and M. Jordan, "Matching words and pictures", JMLR, 2003.
  2. A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth, "Describing objects by their attributes" CVPR, 2009.
  3. X. Wang, L. Zhang, M. Liu, Y. Li, and W. Ma," image search to annotation on billions of web photos" CVPR, 2010.
  4. J. Weston, S. Bengio, and N. Usunier, "Large scale image annotation: Learning to rank with joint wordimage embeddings", Machine Learning Journal, 2010.
  5. Igor Francisco Areias Amaral, "Content-Based Image Retrieval for Medical Applications ", October, 2010.
  6. B. Saida. , "Recherche d´images par contenu", 2007.
  7. T. Deselaers, D. Keysers, and H. Ney, "Flexible Image Retrieval Engine: Image CLEF 2004 Evaluation". In Advances in Multilingual and Multimodal Information Retrieval, 5th Workshop of the Cross-Language Evaluation Forum, CLEF'04, pages 688–698, 2004.
  8. H. Muller, W. Muller, S. Marchand-Maillet, S. March, T. Pun, and D. M. Squire. "Strategies for positive and negative relevance feedback in image retrieval", In The 15th International Conference on Pattern Recognition, ICPR'00, pages 1043–1046, 2000.
  9. W. D. Bidgood. "the SNOMED DICOM microglossary: controlled terminology resource for data interchange in biomedical imaging". DOLAP', 1998.
  10. S. J. Weston, S. Bengio, and N. Usunier, "Large scale image annotation: Learning to rank with joint wordimage embeddings", Machine Learning Journal, 2010.
  11. Stéphane Clinchant, Julien Ah-Pine, Gabriela Csurka," Semantic Combination of Textual and Visual Information in Multimedia Retrieval", 2011
  12. K Yiannis Gkfous, Anna Morou and Theodore Kalamboukis , "Combining Textual and Visual Information for Image Retrieval in the Medical Domain", 2011
  13. Brodeur, J. , Badard, B. : Modeling with ISO 191xx standard. In: Shekhar, S. ; Xiong, H. (Eds. ). Encyclopedia of GIS. Springer-Verlag, pp. 691--700, 2008.
  14. Booch, G. , Rumbaugh, J. , Jacobson, I, "The Unified Modeling Language user guide. 2". ed. Addison-Wesley, Boston, 2005.
  15. Object Management Group, "Unified Modeling Language: Infrastructure. V. 2. 1. 2", 2007.
  16. Selic B. "The Pragmatics of Model-Driven Development. " In: IEEE Software, vol. 20 nº 5, pp. 19–25, 2003.
  17. Pohjonen R. , Kelly S. " Domain-Specific Modeling. " Dr. Dobb's Journal, 2002.
  18. Selic, B," A systematic approach to domain-specific language design using UML. ", In: 10th IEEE Int. Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07), pp. 2--9 (2007)
  19. Stempliuc, S. M. , Lisboa F. , J. , Andrade, M. V. A. , Borges, K. V. A," Extending the UML-GeoFrame data model for conceptual modeling of network applications", In: Int. Conf. on Enterprise Information Systems (ICEIS), Milão pp. 164--170 ,2009
  20. Bruck J. , Hussey K. ," Customizing UML: Which Technique is Right for You", IBM, 2007.
  21. Giachetti G. , Marín B. , Pastor O, "Using UML as a Domain-Specific Modeling Language: A Proposal for Automatic Generation of UML Profiles", 21st Conference on Advanced Information Systems Engineering (CAiSE'09). LNCS. Springer, pp. 110–124, 2009.
  22. Conallen, J,"Building Web Applications with UML", 2nd edn. AddisonWesley, 2002.
  23. Fons, J. , Valderas, P. , Ruiz, M. , Rojas, G. , Pastor, O, "OOWS: A Method to Develop Web Applications from Web Oriented Conceptual Models". Proceedings of the 7th World Multiconference on Systemics, Cybernetics and Informatics. Orlando, FL – USA , 2003
  24. Filipe Ribeiro Nalon and Karla A. de V. Borges, "A UML Profile for Conceptual Modeling in GIS Domain",2010
  25. M. Sharma, N. Rajpal and B. V. R. Reddy "Physical Data Warehouse Design using Neural Network". International Journal of Computer Applications 1(3):86–94, February 2010. Published By Foundation of Computer Science.
  26. S. Rizzi, Matteo Golfarelli,D. Maio "The Dimensional Fact Model: A Conceptual Model for Data Warehouses. " International Journal of Cooperative Information Systems (IJC IS),7(2- 3):215-247,1998.
  27. E . Medina and S. L. Mora "A Web Oriented Approach to manage Multidimensional Models through XML Schemas and XSLT "EDBT 2002 Workshops, LNCS 2490, pp. 29–44, 2002. Springer-Verlag Berlin Heidelberg, 2002.
  28. S. Luján-Mora1, P. Vassiliadis and Juan Trujillo "Data Mapping Diagrams for Data Warehouse Design with UML"in Proceedings of 23 rd International Conference on Conceptual Modeling (ER 04),volume 3288 of LNCS,China,Springer, 2004.
  29. L. Mora and J. Trujilio "Physical Modeling of Data warehouses by using UML Component and Deployment Diagrams:Design and implementation issues. "Journal of Database Management 17(1), 2006.
  30. A. Gosain and S. Mann "Object Oriented Multidimensional Model for a Data Warehouse with Operators", International Journal of Database Theory and Application Vol. 3, No. 4, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Annotation of medical images UML extension UML profile

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