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of 4
pro vyhledávání: '"Jean-François Pambrun"'
Autor:
Philippe Raffy, Jean-François Pambrun, Ashish Kumar, David Dubois, Jay Waldron Patti, Robyn Alexandra Cairns, Ryan Young
Standardized body region labelling of individual images provides data that can improve human and computer use of medical images. A CNN-based classifier was developed to identify body regions in CT and MRI. 17 CT (18 MRI) body regions covering the ent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559ce28b2f3ff2fa49fabe71495e84db
Autor:
Jean François Pambrun, Rita Noumeir
Finding optimal compression levels for diagnostic imaging is not an easy task. Significant compressibility variations exist between modalities, but little is known about compressibility variations within modalities. Moreover, compressibility is affec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4c764543c60b53a34a7e5505fcc753f
https://europepmc.org/articles/PMC4636720/
https://europepmc.org/articles/PMC4636720/
Autor:
Jean François Pambrun, Rita Noumeir
Publikováno v:
Journal of digital imaging. 25(5)
The Digital Imaging and Communications in Medicine (DICOM) is the standard for encoding and communicating medical imaging information. It is used in radiology as well as in many other imaging domains such as ophthalmology, dentistry, and pathology. D
Autor:
Rita Noumeir, Jean François Pambrun
The electronic health record (EHR) is expected to improve the quality of care by enabling access to relevant information at the diagnostic decision moment. During deployment efforts for including images in the EHR, a main challenge has come up from t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4556c020e6cd5920ec4371e0e041303
https://europepmc.org/articles/PMC3180554/
https://europepmc.org/articles/PMC3180554/