Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Quentin Besnehard"'
Publikováno v:
Medical Imaging: Image Processing
Clinical studies for the validation of new medical imaging devices require hundreds of images. An important step in creating and tuning the study protocol is the classification of images into "difficult" and "easy" cases. This consists of classifying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a064d488ccc9d882c432afe50bd0f12
https://doi.org/10.1117/12.873193
https://doi.org/10.1117/12.873193
Publikováno v:
SPIE Proceedings.
Digital breast tomosynthesis (DBT) is a new volumetric breast cancer screening modality. It is based on the principles of computed tomography (CT) and shows promise for improving sensitivity and specificity compared to digital mammography, which is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac2ce66b17aa54ce093a507ffbb38446
https://doi.org/10.1117/12.878165
https://doi.org/10.1117/12.878165
Publikováno v:
SPIE Proceedings.
During the European Cantata project (ITEA project, 2006-2009), a Multi-Content Analysis framework for the classification of compound images in various categories (text, graphical user interface, medical images, other complex images) was developed wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc2bb31e670643ee534119421e7845b
https://doi.org/10.1117/12.838616
https://doi.org/10.1117/12.838616
Autor:
François Boudet, Guillaume Spalla, Arnaud Joubel, Quentin Besnehard, Tom Kimpe, Cédric Marchessoux
Publikováno v:
SPIE Proceedings.
In the context of the European Cantata project (ITEA project, 2006-2009), within Barco, a complete Multi-Content Analysis framework was developed for detection and analysis of compound images. The framework consists of: a dataset, a Multi-Content Ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51c536d77dbd98b805e5fac133e7a1d9
https://doi.org/10.1117/12.805789
https://doi.org/10.1117/12.805789
Publikováno v:
Vrije Universiteit Brussel
In medical networked applications, the server-generated application view, consisting of medical image content and synthetic text/GUI elements, must be compressed and transmitted to the client. To adapt to the local content characteristics, the applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77a3eee8391a1dca0bf327aa52d72e46
https://researchportal.vub.be/en/publications/108d2444-3d40-4210-bfd1-db5d529f87b7
https://researchportal.vub.be/en/publications/108d2444-3d40-4210-bfd1-db5d529f87b7
