Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Euijoon Ahn"'
Autor:
Christine Baird, Yalchin Oytam, Khairunnessa Rahman, Marja Fornasari, Anita Sharma, Jinman Kim, Euijoon Ahn, Rod Hughes
Publikováno v:
International Journal of Integrated Care, Vol 21, Iss 2 (2021)
Introduction: Growing pressures upon Emergency Departments [ED] call for new ways of working with frequent presenters who, although small in number, place extensive demands on services, to say nothing of the costs and consequences for the patients th
Externí odkaz:
https://doaj.org/article/75381d2ffc074ae8b7c49e86859e8cfb
Publikováno v:
Computers in Biology and Medicine. 152:106374
Periodontitis is a serious oral disease that can lead to severe conditions such as bone loss and teeth falling out if left untreated. Diagnosis of radiographic bone loss (RBL) is critical for the staging and treatment of periodontitis. Unfortunately,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09739ef033ea93630d808e7c226814b1
https://doi.org/10.1016/j.compbiomed.2022.106374
https://doi.org/10.1016/j.compbiomed.2022.106374
BACKGROUND Re-presentations to emergency departments (EDs) have been directly associated with increased healthcare cost and length of stay, poorer quality of care and increased morbidity and mortality. Early detection of at-risk patients to EDs can r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d892bd0e57f66160c3608b5e4a43f84
https://doi.org/10.2196/preprints.35766
https://doi.org/10.2196/preprints.35766
Deep learning (DL) using convolutional neural networks (CNNs) is being widely applied to assist in the interpretation of medical images in modern healthcare but there is a paucity of ‘artificial intelligence’ being currently applied to veterinary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0de823ff0ba0d0f3f36cc1cb8c34a85
https://doi.org/10.21203/rs.3.rs-598900/v1
https://doi.org/10.21203/rs.3.rs-598900/v1
Publikováno v:
Medical Image Analysis. 56:140-151
The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems. Such supervised a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::375f46afd0c0f4642cf9cb158c7a089d
https://doi.org/10.1016/j.media.2019.06.005
https://doi.org/10.1016/j.media.2019.06.005
Publikováno v:
Pattern Recognition. 85:78-89
The segmentation of abnormal regions on dermoscopic images is an important step for automated computer aided diagnosis (CAD) of skin lesions. Recent methods based on fully convolutional networks (FCN) have been very successful for dermoscopic image s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c973946071fb922fb3458d2d136feb5
https://doi.org/10.1016/j.patcog.2018.08.001
https://doi.org/10.1016/j.patcog.2018.08.001
Autor:
Tej Parekh, Tracy Mullavey, Tanya Baldacchino, Jinman Kim, Na Liu, Amanda Robinson, Euijoon Ahn, Ronak Patel
Publikováno v:
JMIR Public Health and Surveillance
JMIR Public Health and Surveillance, Vol 7, Iss 3, p e14837 (2021)
JMIR Public Health and Surveillance, Vol 7, Iss 3, p e14837 (2021)
Background Outbreaks of infectious diseases pose great risks, including hospitalization and death, to public health. Therefore, improving the management of outbreaks is important for preventing widespread infection and mitigating associated risks. Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759286c02a9421a0efdec5e32f95ef0d
http://europepmc.org/articles/PMC7988388
http://europepmc.org/articles/PMC7988388
Autor:
Euijoon Ahn, Yalchin Oytam, Jinman Kim, Marja Fornasari, Anita Sharma, Khairunnessa Rahman, Christine Baird, Rod Hughes
Publikováno v:
International Journal of Integrated Care, Vol 21, Iss 2 (2021)
International Journal of Integrated Care; Vol 21: April-June 2021; 29
International Journal of Integrated Care
International Journal of Integrated Care; Vol 21: April-June 2021; 29
International Journal of Integrated Care
Introduction: Growing pressures upon Emergency Departments [ED] call for new ways of working with frequent presenters who, although small in number, place extensive demands on services, to say nothing of the costs and consequences for the patients th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::323f7899242d0fa041bc698d3e58d7bb
https://doi.org/10.5334/ijic.5532
https://doi.org/10.5334/ijic.5532
Recent advances in supervised deep learning methods are enabling remote measurements of photoplethysmography-based physiological signals using facial videos. The performance of these supervised methods, however, are dependent on the availability of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c2baad0fe65b8e9cecec20bc481f87
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871925
MICCAI (1)
MICCAI (1)
The segmentation of medical images is a fundamental step in automated clinical decision support systems. Existing medical image segmentation methods based on supervised deep learning, however, remain problematic because of their reliance on large amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aa648977830872a34f5a19eb59b757b
https://doi.org/10.1007/978-3-030-87193-2_36
https://doi.org/10.1007/978-3-030-87193-2_36