Computer-Aided Diagnosis (CAD) for cervical cancer screening and diagnosis: A new system design in medical image processing

Wenjing Li, Viara Van Raad, Jia Gu, Ulf Hansson, Johan Hakansson, Holger Lange, Daron Gale Ferris

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

17 Scopus citations

Abstract

Uterine cervical cancer is the second most common cancer among women worldwide. Physicians visually inspect the cervix for certain distinctly abnormal morphologic features that indicate precursor lesions and invasive cancer. We introduce our vision of a Computer-Aided-Diagnosis (CAD) system for cervical cancer screening and diagnosis and provide the details of our system design and development process. The proposed CAD system is a complex multi-sensor, multi-data and multi-feature image analysis system. The feature set used in our CAD systems includes the same visual features used by physician and could be extended to new features introduced by new instrument technologies, like fluorescence spectroscopy. Preliminary results of our research on detecting the three most important features: blood vessel structures, acetowhite regions and lesion margins are shown.

Original languageEnglish (US)
Title of host publicationComputer Vision for Biomedical Image Applications - First International Workshop, CVBIA 2005, Proceedings
Pages240-250
Number of pages11
DOIs
StatePublished - Dec 1 2005
Event1st International Workshop on Computer Vision for Biomedical Image Applications, CVBIA 2005 - Beijing, China
Duration: Oct 21 2005Oct 21 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3765 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Computer Vision for Biomedical Image Applications, CVBIA 2005
CountryChina
CityBeijing
Period10/21/0510/21/05

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Li, W., Van Raad, V., Gu, J., Hansson, U., Hakansson, J., Lange, H., & Ferris, D. G. (2005). Computer-Aided Diagnosis (CAD) for cervical cancer screening and diagnosis: A new system design in medical image processing. In Computer Vision for Biomedical Image Applications - First International Workshop, CVBIA 2005, Proceedings (pp. 240-250). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3765 LNCS). https://doi.org/10.1007/11569541_25