Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Florence Cloppet"'
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 3, p 41 (2019)
In this work, we build a computer aided diagnosis (CAD) system of breast cancer for high risk patients considering the breast imaging reporting and data system (BIRADS), mapping main expert concepts and rules. Therefore, a bag of words is built based
Externí odkaz:
https://doaj.org/article/8b7721e050ed4d47800ff529a81ee39e
Autor:
Nicolas Bézière, Christophe Decroos, Karen Mkhitaryan, Elizabeth Kish, Frédéric Richard, Stéphanie Bigot-Marchand, Sylvain Durand, Florence Cloppet, Caroline Chauvet, Marie-Thérèse Corvol, François Rannou, Yun Xu-Li, Daniel Mansuy, Fabienne Peyrot, Yves-Michel Frapart
Publikováno v:
Molecular Imaging, Vol 11 (2012)
Although laboratory data clearly suggest a role for oxidants (dioxygen and free radicals derived from dioxygen) in the pathogenesis of many age-related and degenerative diseases (such as arthrosis and arthritis), methods to image such species in vivo
Externí odkaz:
https://doaj.org/article/b2b909667c554527a049836acdee4946
Autor:
Florence Cloppet, Frank Lebourgeois, Guillaume Joutel, Hani Daher, Hubert Emptoz, Ikram Moalla, Imran Siddiqi, Lionel Martin, Matthieu Exbrayat, Nicole Vincent, Véronique Églin
Publikováno v:
Digital Medievalist, Vol 7, Iss 0 (2012)
In this paper we introduce the numerical tools that have been developed in the context of the Graphem project, in order to automate or leverage several steps in the study of medieval writing samples. We first describe various kinds of features that h
Externí odkaz:
https://doaj.org/article/411de56db32644169dabe7d1813e5b19
Publikováno v:
26th International Conference on Pattern Recognition (ICPR 2022)
26th International Conference on Pattern Recognition (ICPR 2022), Aug 2022, Montréal, Canada
26th International Conference on Pattern Recognition (ICPR 2022), Aug 2022, Montréal, Canada
International audience; Radiologists are now confronted with the difficulty of interpreting cross-sectional studies composed of thousands of images. In hospitals, all acquired imaging data are stored in a picture archiving and communication system (P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ea50c5d3a3f65a4950ac707dc6d3777
https://hal.archives-ouvertes.fr/hal-03695670
https://hal.archives-ouvertes.fr/hal-03695670
Publikováno v:
Pattern Recognition Letters. 121:19-27
Parkinson’s disease (PD) is a degenerative disorder that progressively affects the central nervous system causing muscle rigidity, tremors, slowed movements and impaired balance. Sophisticated diagnostic procedures like SPECT scans can detect chang
Publikováno v:
Pattern Recognition Letters. 86:42-48
A new local approach based on a clustering of blur and non-blur classes to deal with heterogeneous blur in document images.Non linear approach.A new blur feature for clustering blur and non-blur classes.The study on the impact of blur on OCR accuracy
Autor:
Héloïse Alhéritière, Walid Amaïeur, Jean-Marc Ogier, Nicole Vincent, Camille Kurtz, Florence Cloppet
Publikováno v:
Discrete Geometry for Computer Imagery21st IAPR International Conference, DGCI 2019
Discrete Geometry for Computer Imagery 21st IAPR International Conference, DGCI 2019, 11414, Springer, Cham, pp.317-329, 2019, Lecture Notes in Computer Science, 978-3-030-14084-7. ⟨10.1007/978-3-030-14085-4_25⟩
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI
Discrete Geometry for Computer Imagery 21st IAPR International Conference, DGCI 2019, 11414, Springer, Cham, pp.317-329, 2019, Lecture Notes in Computer Science, 978-3-030-14084-7. ⟨10.1007/978-3-030-14085-4_25⟩
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI
Tables are one of the best ways to synthesize information such as statistical results, key figures in documents. In this article we focus on the extraction of materialized tables in document images, in the particular case where acquisition noise can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c54f1349183dc5606e04b73682636a23
https://hal.archives-ouvertes.fr/hal-03030206
https://hal.archives-ouvertes.fr/hal-03030206
Publikováno v:
ICMV
In this paper, we focus on analysis and diagnosis of breast masses inspired by expert concepts and rules. Accordingly, a Bag of Words is built based on the ontology of breast cancer diagnosis, accurately described in the Breast Imaging Reporting and
Autor:
Florence Cloppet, Véronique Eglin, Marlène Helias-Baron, van Cuong Kieu, Dominique Stutzmann, Nicole Vincent
Publikováno v:
International Conference on Document Analysis and Recognition (ICDAR 2017)
International Conference on Document Analysis and Recognition (ICDAR 2017), Nov 2017, Kyoto, Japan
International Conference on Document Analysis and Recognition (ICDAR 2017), Nov 2017, Kyoto, Japan. 2017
HAL
International Conference on Document Analysis and Recognition (ICDAR 2017), Nov 2017, Kyoto, Japan
International Conference on Document Analysis and Recognition (ICDAR 2017), Nov 2017, Kyoto, Japan. 2017
HAL
International audience; This paper presents the results of the ICDAR2017Competition on the Classification of Medieval Handwritings inLatin Script (CLaMM), jointly organized by Computer Scientistsand Humanists (paleographers). This work follows a comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4255ee6dd31dd1791ff17cf8d0f16cf1
https://hal.archives-ouvertes.fr/hal-01628986
https://hal.archives-ouvertes.fr/hal-01628986
Publikováno v:
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.1126-1131, ⟨10.1109/ICDAR.2017.186⟩
ICDAR
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.1126-1131, ⟨10.1109/ICDAR.2017.186⟩
ICDAR
Document layout extraction is a difficult step in the image interpretation process due to the high complexity of documents. The main challenge relies on the huge gap between both the physical and the logical structures of document images. In order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64ac24b1e23217089c65adfa8eb4abfe
https://hal.archives-ouvertes.fr/hal-03030191
https://hal.archives-ouvertes.fr/hal-03030191