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pro vyhledávání: '"Alsheh Ali, Maya"'
Autor:
Alsheh Ali, Maya
Au cours de la dernière décennie, la pathologie numérique a été améliorée grâce aux avancées des algorithmes d'analyse d'images et de la puissance de calcul. Néanmoins, le diagnostic par un expert à partir d'images histopathologiques reste
Externí odkaz:
http://www.theses.fr/2015USPCB003/document
Autor:
Alsheh Ali, Maya
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université Sorbonne Paris Cité, 2015. Français. ⟨NNT : 2015USPCB003⟩
During the last decade, digital pathology has been improved thanks to the advance of image analysis algorithms and calculus power. However, the diagnosis from histopathology images by an expert remains the gold standard in a considerable number of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::9d5d3fde7a0c3f4f6705d6f2f597d47f
https://tel.archives-ouvertes.fr/tel-01191479/file/va_Alsheh-Ali_Maya.pdf
https://tel.archives-ouvertes.fr/tel-01191479/file/va_Alsheh-Ali_Maya.pdf
Publikováno v:
Medical Physics; Apr2019, Vol. 46 Issue 4, p1938-1946, 9p
Publikováno v:
Scientific Reports. 10/10/2019, Vol. 9 Issue 1, pN.PAG-N.PAG. 1p.
Autor:
Garnier, Mickaël, Alsheh Ali, Maya, Seguin, Johanne, Mignet, Nathalie, Hurtut, Thomas, Wendling, Laurent
Publikováno v:
Image Analysis & Recognition: Part II; 2014, p247-254, 8p
Autor:
Abrahamsson, Linda, Alsheh Ali, Maya, Czene, Kamila, Isheden, Gabriel, Hall, Per, Humphreys, Keith
Publikováno v:
Epidemiologic Methods; February 2020, Vol. 9 Issue: 1
Autor:
Aylward, Stephen, Hadjiiski, Lubomir M., Alsheh Ali, Maya, Hurtut, Thomas, Faucon, Timothée, Cheriet, Farida
Publikováno v:
Proceedings of SPIE; March 2014, Vol. 9035 Issue: 1 p903531-903531-7
Autor:
Aurélie Fischer, Laurent Wendling, Nathalie Mignet, Johanne Seguin, Maya Alsheh Aliy, Thomas Hurtut
Publikováno v:
ISPA
Scopus-Elsevier
Proceedings of the IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, 2013, Trieste, Italy. pp.257-261, ⟨10.1109/ISPA.2013.6703749⟩
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, 2013, Italy. pp.257-261, ⟨10.1109/ISPA.2013.6703749⟩
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, 2013, Italy. pp.257-261, 2013, 〈10.1109/ISPA.2013.6703749〉
Scopus-Elsevier
Proceedings of the IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, 2013, Trieste, Italy. pp.257-261, ⟨10.1109/ISPA.2013.6703749⟩
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, 2013, Italy. pp.257-261, ⟨10.1109/ISPA.2013.6703749⟩
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on, 2013, Italy. pp.257-261, 2013, 〈10.1109/ISPA.2013.6703749〉
International audience; We propose an automatic method to quantitatively describe the spatial organization governing populations of biological objects, such as cells, which exist in stationary histology images. This quantification is of prime importa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6a0a2dbb629f4eb35eab9883a59301
https://doi.org/10.1109/ispa.2013.6703749
https://doi.org/10.1109/ispa.2013.6703749