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A hybrid-based computer diagnosis system for virtual cystoscopy

  • City University of New York
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Bladder cancer is the one of the leading causes of cancer deaths in the United States. By utilizing magnetic resonance imaging (MRI), virtual cystoscopy (VC) has shown its potential in early examinations of bladder lesions. In this paper, we present a hybrid-based computer diagnosis system for VC. The research objective of this paper are: (1) to incorporate a statistical maximum a posterior (MAP) framework for tissue segmentation (local computation); (2) to determine a set of intrinsic parameters for modeling bladders (global computation); (3) to develop a hybrid-based diagnosis system based on both the local feature computations and the global parameters obtained.

Original languageEnglish
Title of host publicationWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Pages152-155
Number of pages4
StatePublished - 2006
Event10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, United States
Duration: Jul 16 2006Jul 19 2006

Publication series

NameWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Volume5

Conference

Conference10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006
Country/TerritoryUnited States
CityOrlando, FL
Period07/16/0607/19/06

Keywords

  • Computer aided diagnosis
  • Magnetic resonance imaging
  • Virtual cystoscopy

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