Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Jorma O. Ryhänen"'
Autor:
Turkka T. Anttila, Teemu V. Karjalainen, Teemu O. Mäkelä, Eero M. Waris, Nina C. Lindfors, Miika M. Leminen, Jorma O. Ryhänen
Publikováno v:
Journal of Digital Imaging. 36:679-687
Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment, fracture detection and radiographic assessment of fracture displacement are critical steps. The aim of this study was to use pixel-level annotations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be51e9bd4820a191d919839bbefabd90
https://doi.org/10.1007/s10278-022-00741-5
https://doi.org/10.1007/s10278-022-00741-5
Autor:
Turkka T, Anttila, Teemu V, Karjalainen, Teemu O, Mäkelä, Eero M, Waris, Nina C, Lindfors, Miika M, Leminen, Jorma O, Ryhänen
Publikováno v:
Journal of digital imaging.
Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment, fracture detection and radiographic assessment of fracture displacement are critical steps. The aim of this study was to use pixel-level annotations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7ccc7220090a959b1a8fe099d6e87c17
https://pubmed.ncbi.nlm.nih.gov/36542269
https://pubmed.ncbi.nlm.nih.gov/36542269