An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging

Ioannis Constantinou; Marios Pattichis; Vasilis Tanos; Marios Neofytou; Constantinos Pattichis

doi:10.1109/BIBE.2012.6399760

An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging

Ioannis Constantinou, Marios Pattichis, Vasilis Tanos, Marios Neofytou, Constantinos Pattichis

Medical School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for estimating different AM-FM components from different scales. In this paper, for the first time, we introduce the use of an adaptive, multiscale AM-FM approach that searches for the optimal filter-bank specification for use in image classification. We demonstrate an example application in hysteroscopy imaging, for identification of gynaecological cancer, where the optimal filter-bank turns out to be circularly symmetric.

Original language	English
Title of host publication	IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012
Pages	744-747
Number of pages	4
DOIs	https://doi.org/10.1109/BIBE.2012.6399760
Publication status	Published - 2012
Event	12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012 - Larnaca, Cyprus Duration: 11 Nov 2012 → 13 Nov 2012

Other

Other	12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012
Country/Territory	Cyprus
City	Larnaca
Period	11/11/12 → 13/11/12

Keywords

AM-FM representation
cancer
hysteroscopy imaging
multiscale medical imaging analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BIBE.2012.6399760

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title = "An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging",

abstract = "The use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for estimating different AM-FM components from different scales. In this paper, for the first time, we introduce the use of an adaptive, multiscale AM-FM approach that searches for the optimal filter-bank specification for use in image classification. We demonstrate an example application in hysteroscopy imaging, for identification of gynaecological cancer, where the optimal filter-bank turns out to be circularly symmetric.",

keywords = "AM-FM representation, cancer, hysteroscopy imaging, multiscale medical imaging analysis",

author = "Ioannis Constantinou and Marios Pattichis and Vasilis Tanos and Marios Neofytou and Constantinos Pattichis",

year = "2012",

doi = "10.1109/BIBE.2012.6399760",

language = "English",

isbn = "9781467343589",

pages = "744--747",

booktitle = "IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012",

note = "12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012 ; Conference date: 11-11-2012 Through 13-11-2012",

}

Constantinou, I, Pattichis, M, Tanos, V, Neofytou, M & Pattichis, C 2012, An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging. in IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012., 6399760, pp. 744-747, 12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012, Larnaca, Cyprus, 11/11/12. https://doi.org/10.1109/BIBE.2012.6399760

An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging. / Constantinou, Ioannis; Pattichis, Marios; Tanos, Vasilis et al.
IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012. 2012. p. 744-747 6399760.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging

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AU - Pattichis, Marios

AU - Tanos, Vasilis

AU - Neofytou, Marios

AU - Pattichis, Constantinos

PY - 2012

Y1 - 2012

N2 - The use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for estimating different AM-FM components from different scales. In this paper, for the first time, we introduce the use of an adaptive, multiscale AM-FM approach that searches for the optimal filter-bank specification for use in image classification. We demonstrate an example application in hysteroscopy imaging, for identification of gynaecological cancer, where the optimal filter-bank turns out to be circularly symmetric.

AB - The use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for estimating different AM-FM components from different scales. In this paper, for the first time, we introduce the use of an adaptive, multiscale AM-FM approach that searches for the optimal filter-bank specification for use in image classification. We demonstrate an example application in hysteroscopy imaging, for identification of gynaecological cancer, where the optimal filter-bank turns out to be circularly symmetric.

KW - AM-FM representation

KW - cancer

KW - hysteroscopy imaging

KW - multiscale medical imaging analysis

UR - https://www.scopus.com/pages/publications/84872833224

U2 - 10.1109/BIBE.2012.6399760

DO - 10.1109/BIBE.2012.6399760

M3 - Conference contribution

AN - SCOPUS:84872833224

SN - 9781467343589

SP - 744

EP - 747

BT - IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012

T2 - 12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012

Y2 - 11 November 2012 through 13 November 2012

ER -

An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging

Abstract

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Keywords

UN SDGs

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