Position statement on classification of basal cell carcinomas. Part 2: EADO proposal for new operational staging system adapted to basal cell carcinomas

Autor: Bernard Fertil, Claus Garbe, J.-J. Grob, Luca Tagliaferri, Iris Zalaudek, B Bertrand, Pablo Fernandez-Penas, Ketty Peris, Joseph Malvehy, Roland Kaufmann, M C Fargnoli, Nicole Basset-Seguin, Alexander Guminski, Alexandros Stratigos, V. Del Marmol, Caroline Gaudy-Marqueste

Publikováno v: Journal of the European Academy of Dermatology and Venereology

Background No simple staging system has emerged for basal cell carcinomas (BCCs), since they do not follow the TNM process, and practitioners failed to agree on simple clinical or pathological criteria as a basis for a classification. Operational cla

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd6f984dd5fef165c91b1f635742ab75
https://doi.org/10.1111/jdv.17467

Purchase behavior analysis through gaze and gesture observation

Autor: Rabah Iguernaissi, Yannick Lufimpu-Luviya, Djamal Merad, Bernard Fertil, Pierre Drap

Publikováno v: Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2016, 81, pp.21-29. ⟨10.1016/j.patrec.2016.04.008⟩
Pattern Recognition Letters, Elsevier, 2016
Pattern Recognition Letters, 2016, 81, pp.21-29. ⟨10.1016/j.patrec.2016.04.008⟩

This is a part of behavioral marketing research. Its purpose is to establish a classification of the customers in term of their profiles. Customer profiles are characterized by several attributes such as purchasing behavior. In a selling area, a cust

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7abd756b0deea870eb776be4af9a86b4
https://doi.org/10.1016/j.patrec.2016.04.008

Head detection based on skeleton graph method for counting people in crowded environments

Autor: Pierre Drap, Rabah Iguernaissi, Djamal Merad, Bernard Fertil, Kheir-Eddine Aziz

Publikováno v: Journal of Electronic Imaging
Journal of Electronic Imaging, SPIE and IS&T, 2016, 25 (1), pp.013012-013012
Journal of Electronic Imaging, 2016, 25 (1), pp.013012-013012

We describe a method for detecting heads in order to count people in crowded environments using a single camera. The main difference between this method and traditional ones consists of adapting skeleton graph analysis techniques for distinguishing i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb8b5731a0500e3cd3ecc3e2e218b643
https://hal-amu.archives-ouvertes.fr/hal-01479328

Edmond-Philippe Malaise (1930-2013): A Lifetime of Perseverance Leads to the Cellular Definition of Intrinsic Radiosensitivity

Autor: Patrick Deschavanne, Adel Courdi, Christophe Badie, N. Chavaudra, Bernard Fertil, Philippe Lambin, John Gueulette, Fady Geara, Ghazi Alsbeih, Alphonse G. Taghian, N. Foray

Publikováno v: Scopus-Elsevier

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c68067de8e0e86800a7a95173d5007d0
https://doi.org/10.1016/j.ijrobp.2013.12.049

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