Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Medical Imaging—Original Article"'
Publikováno v:
Journal of Medical Imaging and Radiation Oncology
Introduction Cerebral venous sinus thrombosis (CVST) is rare; however, it has been observed in patients with vaccine‐induced immune thrombotic thrombocytopaenia syndrome (VITT) following the use of adenovirus vector vaccines against COVID‐19. Adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd55366266c7d415146a6808702d5d6
https://doi.org/10.1111/1754-9485.13345
https://doi.org/10.1111/1754-9485.13345
Publikováno v:
Journal of Medical Imaging and Radiation Oncology
Introduction Coronavirus disease 2019 (COVID‐19) has infected over 215 million individuals worldwide. Chest radiographs (CXR) and computed tomography (CT) have assisted with diagnosis and assessment of COVID‐19. Previous reports have described pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9914c032eb1106951f1d965f9d7b7d
https://doi.org/10.1111/1754-9485.13339
https://doi.org/10.1111/1754-9485.13339
Publikováno v:
Journal of Medical Imaging and Radiation Oncology
Introduction The COVID‐19 pandemic is driving unprecedented changes in healthcare services worldwide. This study aimed to quantify the impact of the first wave of the COVID‐19 pandemic on diagnostic imaging services in Australia using an interrup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6d13b7cc9d93cb0147b00cb1569e0d2
https://doi.org/10.1111/1754-9485.13291
https://doi.org/10.1111/1754-9485.13291
Publikováno v:
Journal of Medical Imaging and Radiation Oncology
Introduction This study aims to evaluate deep learning (DL)‐based artificial intelligence (AI) techniques for detecting the presence of breast cancer on a digital mammogram image. Methods We evaluated several DL‐based AI techniques that employ di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eba057851a44d0a2e77bec0bea705f1
http://europepmc.org/articles/PMC8456839
http://europepmc.org/articles/PMC8456839
Autor:
Hiang Khoon Tan, Bien Soo Tan, Robert Chun Chen, Irene Teo, Isha Chaudhry, Hian Liang Huang, Ai Ling Heng, Kun Da Zhuang
Publikováno v:
Journal of Medical Imaging and Radiation Oncology
Introduction We aimed to study anxiety and burnout among Division of Radiological Sciences (RADSC) staff during the COVID‐19 pandemic and identify potential risk and protective factors. These outcomes were compared with non‐RADSC staff. Methods A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74bc5628373a8e557fb71cb2f9d4d657
https://pubmed.ncbi.nlm.nih.gov/33591604
https://pubmed.ncbi.nlm.nih.gov/33591604