A Survey on Ontology-Based Systems to Support the Prospection, Diagnosis and Treatment of Breast Cancer
Resumo
In a scenario where there is a huge amount of available data sources, the Semantic Web has played a key role in sharing, retrieval, selection, and combination of data organized in various formats. The storage and retrieval of medical images manipulated by systems that support breast cancer detection can take great advantage from the use of such technology. In this paper we present a comprehensive study on ontology-based systems that support the manipulation of medical images related to breast cancer, identifying the main features of each approach.
Palavras-chave:
Ontology, Breast cancer, Medical Image, Medical System
Referências
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Biolchini, J. C. A.; Mian, P. G.; Natali, A. C.; Conte, T. U.; Travassos, G. H. Scientific Research Ontology to Support Systematic Review in Software Engineering. In: Advanced Engineering Informatics. pp. 133-151. 2007.
Boomsma, H.; Gross, H.G. Dead Code Elimination for Web Systems Written in PHP: Lessons Learned from an Industry Case. In: International Conference of Software Maintenance. pp. 511-515. 2012.
Burd, L.; Rank, S. Using Automated Source Code Analysis for Software Evolution. In: IEEE International Workshop on Source Code Analysis and Manipulation. pp. 204-210. 2001.
Eder, S.; Junker, M.; Jürgens, E.; Hauptmann, B.; Vaas, R.; Prommer, K. How Much Does Unused Code Matter for Maintenance?. In: International Conference on Software Engineering. pp. 1102-1111. 2012.
Gold, N.; Mohan, A. A Framework for Understanding Conceptual Changes in Evolving Source Code. In: International Conference on Software Maintenance. pp. 431- 439. 2003.
Guerrouat, A.; Richter, H. A Combined Approach for Reachability Analysis. In: International Conference on Software Engineering Advances. pp. 23-23. 2006.
Knoop, J.; Rüthing, O.; Steffen B. Partial Dead Code Elimination. In: Conference on Programming Language Design and Implementation v. 29, pp. 147-158 1994.
Lehman, M. M.; Belady, L. Program Evolution: Processes of Software Change. Academic Press. 538p. 1985.
Pressman, R.; Maxim, B. Software Engineering: A Practitioner's Approach. McGraw-Hill. 976p. 2014.
Scanniello, G. An Investigation of Object-Oriented and Code-Size Metrics as Dead Code Predictors. In: Conference on Software Engineering and Advanced Applications. pp. 392-397. 2014.
Scanniello, G. Source Code Survival with the Kaplan Meier. In: International Conference
Publicado
17/05/2016
Como Citar
ISAC, Cassia; VITERBO, José; CONCI, Aura.
A Survey on Ontology-Based Systems to Support the Prospection, Diagnosis and Treatment of Breast Cancer. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 12. , 2016, Florianópolis.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 271-277.
DOI: https://doi.org/10.5753/sbsi.2016.5972.
