Výsledky vyhledávání - "Yanal Wazaefi"

Automatic classification of skin lesions using geometrical measurements of adaptive neighborhoods and local binary patterns

Autor: J-J. Grob, Johan Debayle, Bernard Fertil, Víctor González-Castro, C. Gaudy, Yanal Wazaefi, Mehdi Rahim

Publikováno v: ICIP 2015 IEEE International Conference on Image Processing
ICIP 2015 IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. IEEE Xplore, IEEE Signal Processing Letters
ICIP
IEEE International Conference on Image Processing ICIP
ICIP 2015 IEEE International Conference on Image Processing, IEEE Signal Processing Society, Sep 2015, Québec City, Canada. pp.1722 à 1726, ⟨10.1109/ICIP.2015.7351095⟩

ISBN:978-1-4799-8339-1; International audience; This paper introduces a method for characterizing and classifying skin lesions in dermoscopic color images with the goal of detecting which ones are melanoma (cancerous lesions). The images are describe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e99ee58e97dded68edaff6e890eb6e51
https://hal-emse.ccsd.cnrs.fr/emse-01228085

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Automatic classification of skin lesions using color mathematical morphology-based texture descriptors

Autor: Caroline Gaudy-Marqueste, Jean-Jacques Grob, Johan Debayle, Víctor González-Castro, Yanal Wazaefi, Mehdi Rahim, Bernard Fertil

Publikováno v: Twelfth International Conference on Quality Control by Artificial Vision
Twelfth International Conference on Quality Control by Artificial Vision, Le2i-Laboratoire Electronique, Informatique et Image, Jun 2015, Le Creusot, France. pp.[9534-3] ; doi:10.1117/12.2182592

SPIE : Society of Photo-Optical Instrumentation Engineers; International audience; In this paper an automatic classification method of skin lesions from dermoscopic images is proposed. This method is based on color texture analysis based both on colo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd1c732d9032688a1fa5c13decca432
https://hal-emse.ccsd.cnrs.fr/emse-01163688/document

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Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions

Autor: Yanal Wazaefi, Víctor González-Castro, Bernard Fertil, Johan Debayle, Jean-Jacques Grob, Caroline Gaudy-Marqueste, Mehdi Rahim

Publikováno v: Journal of Electronic Imaging
Journal of Electronic Imaging, SPIE and IS&T, 2015, 24 (6), pp.061104. ⟨10.1117/1.JEI.24.6.061104⟩
Journal of Electronic Imaging, 2015, 24 (6), pp.061104. ⟨10.1117/1.JEI.24.6.061104⟩

art. 061104 Se proponen diferentes descriptores de textura para la clasificación automática de lesiones cutáneas a partir de imágenes dermoscópicas. Se basan en el análisis de textura de color obtenido de (1) morfología matemática del color (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d11f2b57d979963371d2152db1c43373
https://hal-emse.ccsd.cnrs.fr/emse-01225076/document

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Ugly Duckling Sign as a Major Factor of Efficiency in Melanoma Detection

Autor: Luc Thomas, Jean-Jacques Grob, Caroline Gaudy-Marqueste, Josep Malvehy, Bernard Fertil, Raoul Triller, Marie-Aleth Richard, Sandrine Monestier, Y. Bruneu, M.-F. Avril, Giovanni Pellacani, Yanal Wazaefi

Publikováno v: JAMA Dermatology. 153:279

Importance Understanding the contribution of the ugly duckling sign (a nevus that is obviously different from the others in a given individual) in intrapatient comparative analysis (IPCA) of nevi may help improve the detection of melanoma. Objectives

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d15673debd328f695a727495fc7bccb9
https://doi.org/10.1001/jamadermatol.2016.5500

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Learning from examples to automatically cluster pigmented skin lesions

Autor: Julien Lefèvre, C. Gaudy, Sébastien Paris, Jean-Jacques Grob, Bernard Fertil, Yanal Wazaefi

Publikováno v: ISBI

Our goal was to model the ability of dermatologists to build consistent clusters of pigmented skin lesions in patients. A consensus clustering allows modeling the diversity of skin lesions in each patient as a result of the partitions proposed by nin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63e733d3119e0423b08857da56eb0829
https://doi.org/10.1109/isbi.2013.6556435

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Evidence of a limited intra-individual diversity of nevi: intuitive perception of dominant clusters is a crucial step in the analysis of nevi by dermatologists

Autor: Caroline Gaudy-Marqueste, Joseph Malvehy, Bernard Fertil, Giovanni Pellacani, Sandrine Monestier, Yanal Wazaefi, M.-F. Avril, Y. Bruneu, Jean-Jacques Grob, Marie-Aleth Richard, Luc Thomas, Raoul Triller

Publikováno v: The Journal of investigative dermatology. 133(10)

Although nevi are highly polymorphous, it has been suggested that each individual is characterized by only a few dominant patterns of nevi. Therefore, a nevus that does not fit in with these patterns, the “ugly duckling” nevus, is suspicious. Our

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83862abf508c3af6f5f151a61a62f54e
https://pubmed.ncbi.nlm.nih.gov/23594596

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Contribution of a classifier of skin lesions to the dermatologist's decision

Autor: Bernard Fertil, Yanal Wazaefi, Sébastien Paris

Publikováno v: IPTA

In this paper, we investigated to what extent the melanoma diagnosis can be impacted by an automatic system using dermoscopic images of pigmented skin lesions. Nine dermatologists were asked to give their diagnosis about 1097 dermoscopic images of sk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bad2b1a3b694d4b26fd4a1d797476929
https://doi.org/10.1109/ipta.2012.6469560

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