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Authors: Juan D. García-Arteaga 1 ; Jan Kybic 1 ; Jia Gu 2 and Wenjing Li 2

Affiliations: 1 Center for Machine Perception, Czech Technical University, Czech Republic ; 2 STI Medical Systems, United States

ISBN: 978-972-8865-73-3

Keyword(s): Medical Image Analysis, Registration,Computer-Aided Diagnosis, Colposcopy, Validation, Mutual Information.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration ; Medical Image Analysis

Abstract: Colposcopy is a diagnostic method to visually detect cancerous and pre-cancerous tissue regions in the uterine cervix. A typical result is a sequence of cervical images captured at different times after the application of a contrast agent that must be spatially registered to compensate for patient, camera and tissue movement and on which progressive color and texture changes may be seen. We present a method to automatically select correct landmarks for non-consecutive sequence frames captured at long time intervals from a group of candidate matches. Candidate matches are extracted by detecting and matching feature points in consecutive images. Selection is based on geometrical constraints and a local rigid registration using Mutual Information. The results show that these landmarks may be subsequently used to either guide or evaluate the registration of these type of images.

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Paper citation in several formats:
D. García-Arteaga J.; Kybic J.; Gu J.; Li W. and (2007). GEOMETRIC AND INFORMATION CONSTRAINTS FOR AUTOMATIC LANDMARK SELECTION IN COLPOSCOPY SEQUENCES.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 333-338. DOI: 10.5220/0002059603330338

@conference{visapp07,
author={Juan {D. García{-}Arteaga} and Jan Kybic and Jia Gu and Wenjing Li},
title={GEOMETRIC AND INFORMATION CONSTRAINTS FOR AUTOMATIC LANDMARK SELECTION IN COLPOSCOPY SEQUENCES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={333-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002059603330338},
isbn={978-972-8865-73-3},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - GEOMETRIC AND INFORMATION CONSTRAINTS FOR AUTOMATIC LANDMARK SELECTION IN COLPOSCOPY SEQUENCES
SN - 978-972-8865-73-3
AU - D. García-Arteaga, J.
AU - Kybic, J.
AU - Gu, J.
AU - Li, W.
PY - 2007
SP - 333
EP - 338
DO - 10.5220/0002059603330338

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