Multiscale AM-FM analysis of pneumoconiosis x-ray images

Victor Murray, Marios S. Pattichis, Herbert Davis, Eduardo S. Barriga, Peter Soliz

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14 Citas (Scopus)

Resumen

This paper presents a computer-aided diagnostic (CAD) system for analyzing chest radiographs based on the International Labor Organization (ILO) standards. We introduce an amplitude-modulation frequency-modulation (AM-FM) based methodology by which a computer-based system will extract AM-FM features and detect those with suspected interstitial lung diseases. For classification, we use Partial Least Squares (PLS) using a low number of extracted factors (making the system robust). We consider several different AM-FM classifiers based on extracting features from individual scales as well as a final classifier that combines results from the individuals scales. We validate our methodology on 11 standard images graded according to the ILO standard. For several scales, as well as for the combined classifier that uses information from all scales, we get excellent classification results (area under the receiver operator characteristics curve equal to 1.0) using a limited number of latent PLS factors.

Idioma originalInglés
Título de la publicación alojada2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
EditorialIEEE Computer Society
Páginas4201-4204
Número de páginas4
ISBN (versión impresa)9781424456543
DOI
EstadoPublicada - 2009
Publicado de forma externa
Evento2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egipto
Duración: 7 nov. 200910 nov. 2009

Serie de la publicación

NombreProceedings - International Conference on Image Processing, ICIP
ISSN (versión impresa)1522-4880

Conferencia

Conferencia2009 IEEE International Conference on Image Processing, ICIP 2009
País/TerritorioEgipto
CiudadCairo
Período7/11/0910/11/09

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