Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dirk, Marwede"'
Publikováno v:
Journal of Digital Imaging. 21:363-370
Introduction: To validate a preliminary version of a radiological lexicon (RadLex) against terms found in thoracic CT reports and to index report content in RadLex term categories. Material and Methods: Terms from a random sample of 200 thoracic CT r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950849b1994aa08c757f18ac76376f3d
https://doi.org/10.1007/s10278-007-9051-6
https://doi.org/10.1007/s10278-007-9051-6
Autor:
James M. Fielding, Dirk Marwede
Publikováno v:
Philosophy, Psychiatry, & Psychology. 18:319-321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d470bcc959f1cc5458d3dcb6afd0d1e
https://doi.org/10.1353/ppp.2011.0048
https://doi.org/10.1353/ppp.2011.0048
Publikováno v:
Studies in health technology and informatics. 116
There are a plenty of existing classifications and staging schemes for carcinomas, one of the most frequently used being the TNM classification. Such classifications involve entities which exist at various anatomical levels of granularity and in orde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c3265e86d01971f35c8928e61f6f5457
https://pubmed.ncbi.nlm.nih.gov/16160329
https://pubmed.ncbi.nlm.nih.gov/16160329
Autor:
Dirk, Marwede, Matthew, Fielding
Publikováno v:
Studies in health technology and informatics. 116
Medical ontologies like GALEN, the FMA or SNOMED represent a kind of "100% certain" medical knowledge which is not inherent to all medical sub-domains. Clinical radiology uses computerized imaging techniques to make the human body visible and interpr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::94679c7142f79e7fa31504c9f991d994
https://pubmed.ncbi.nlm.nih.gov/16160348
https://pubmed.ncbi.nlm.nih.gov/16160348
Autor:
Claus Peter Heussel, Kjell Heitmann, Dirk Marwede, Manfred Thelen, Thomas Uthmann, Hans-Ulrich Kauczor
Publikováno v:
AJR. American journal of roentgenology. 175(5)
We compared multiple neural networks with a density mask for the automatic detection and quantification of ground-glass opacities on high-resolution CT under clinical conditions.Eighty-four patients (54 men and 30 women; age range, 18-82 years; mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cae2e746ff3d72de2d38ba6432ca8c2b
https://pubmed.ncbi.nlm.nih.gov/11044035
https://pubmed.ncbi.nlm.nih.gov/11044035