Machine learning techniques in detecting of pulmonary embolisms

Mark Myers, Igor Beliaev, King Ip Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Computer Aided Detection (CAD) systems have recently been used by physicians to help automatically detect early forms of breast cancer in X-ray images, lung nodules in lung CT images, and polyps in colon CT images. We discuss an automatic detection mechanism using a genetic algorithms (GA) approach to identify and classify Pulmonary Embolisms (PE) captured through Computed Tomography Angiography (CTA). Our method enhances the performance of the classification of diseases as compared to other methodologies discussed in this paper.

Original languageEnglish (US)
Title of host publicationThe 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
Pages385-390
Number of pages6
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL, United States
Duration: Aug 12 2007Aug 17 2007

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Other

Other2007 International Joint Conference on Neural Networks, IJCNN 2007
CountryUnited States
CityOrlando, FL
Period8/12/078/17/07

Fingerprint

Angiography
Tomography
Learning systems
Genetic algorithms
X rays

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Myers, M., Beliaev, I., & Lin, K. I. (2007). Machine learning techniques in detecting of pulmonary embolisms. In The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings (pp. 385-390). [4370987] (IEEE International Conference on Neural Networks - Conference Proceedings). https://doi.org/10.1109/IJCNN.2007.4370987

Machine learning techniques in detecting of pulmonary embolisms. / Myers, Mark; Beliaev, Igor; Lin, King Ip.

The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. 2007. p. 385-390 4370987 (IEEE International Conference on Neural Networks - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Myers, M, Beliaev, I & Lin, KI 2007, Machine learning techniques in detecting of pulmonary embolisms. in The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings., 4370987, IEEE International Conference on Neural Networks - Conference Proceedings, pp. 385-390, 2007 International Joint Conference on Neural Networks, IJCNN 2007, Orlando, FL, United States, 8/12/07. https://doi.org/10.1109/IJCNN.2007.4370987
Myers M, Beliaev I, Lin KI. Machine learning techniques in detecting of pulmonary embolisms. In The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. 2007. p. 385-390. 4370987. (IEEE International Conference on Neural Networks - Conference Proceedings). https://doi.org/10.1109/IJCNN.2007.4370987
Myers, Mark ; Beliaev, Igor ; Lin, King Ip. / Machine learning techniques in detecting of pulmonary embolisms. The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. 2007. pp. 385-390 (IEEE International Conference on Neural Networks - Conference Proceedings).
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