Adaboost to classify plaque appearance in ivus images

Oriol Pujol; Petia Radeva; Jordi Vitrià; Josepa Mauri

Adaboost to classify plaque appearance in ivus images

Oriol Pujol, Petia Radeva, Jordi Vitrià, Josepa Mauri

Research output: Contribution to journal › Article › Research › peer-review

Abstract

Intravascular Ultrasound images represent a unique tool to analyze the morphological vessel structures and make decisions about plaque presence. Texture analysis is a robust way to detect and characterize different kind of vessel plaques. In this article, we make exhaustive comparison between different feature spaces to optimally describe plaque appearance and show that applying advanced classification techniques based on multiple classifiers (adaboost) significantly improves the final results. The validation tests on different kind of plaques are very encouraging. © Springer-Verlag 2004.

Original language	English
Pages (from-to)	629-636
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3287
Publication status	Published - 1 Dec 2004

Cite this

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title = "Adaboost to classify plaque appearance in ivus images",

abstract = "Intravascular Ultrasound images represent a unique tool to analyze the morphological vessel structures and make decisions about plaque presence. Texture analysis is a robust way to detect and characterize different kind of vessel plaques. In this article, we make exhaustive comparison between different feature spaces to optimally describe plaque appearance and show that applying advanced classification techniques based on multiple classifiers (adaboost) significantly improves the final results. The validation tests on different kind of plaques are very encouraging. {\textcopyright} Springer-Verlag 2004.",

author = "Oriol Pujol and Petia Radeva and Jordi Vitri{\`a} and Josepa Mauri",

year = "2004",

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T1 - Adaboost to classify plaque appearance in ivus images

AU - Pujol, Oriol

AU - Radeva, Petia

AU - Vitrià, Jordi

AU - Mauri, Josepa

PY - 2004/12/1

Y1 - 2004/12/1

N2 - Intravascular Ultrasound images represent a unique tool to analyze the morphological vessel structures and make decisions about plaque presence. Texture analysis is a robust way to detect and characterize different kind of vessel plaques. In this article, we make exhaustive comparison between different feature spaces to optimally describe plaque appearance and show that applying advanced classification techniques based on multiple classifiers (adaboost) significantly improves the final results. The validation tests on different kind of plaques are very encouraging. © Springer-Verlag 2004.

AB - Intravascular Ultrasound images represent a unique tool to analyze the morphological vessel structures and make decisions about plaque presence. Texture analysis is a robust way to detect and characterize different kind of vessel plaques. In this article, we make exhaustive comparison between different feature spaces to optimally describe plaque appearance and show that applying advanced classification techniques based on multiple classifiers (adaboost) significantly improves the final results. The validation tests on different kind of plaques are very encouraging. © Springer-Verlag 2004.

M3 - Article

SN - 0302-9743

VL - 3287

SP - 629

EP - 636

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

ER -

Adaboost to classify plaque appearance in ivus images

Abstract

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