https://scholars.lib.ntu.edu.tw/handle/123456789/638286
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lin, C | en_US |
dc.contributor.author | Chang, Y-C | en_US |
dc.contributor.author | Chiu, H-Y | en_US |
dc.contributor.author | Cheng, C-H | en_US |
dc.contributor.author | HSUAN-MING HUANG | en_US |
dc.date.accessioned | 2024-01-09T03:13:32Z | - |
dc.date.available | 2024-01-09T03:13:32Z | - |
dc.date.issued | 2023-08 | - |
dc.identifier.issn | 00099260 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/638286 | - |
dc.description.abstract | To investigate the feasibility of using deep learning (DL) to differentiate normal from abnormal (or scarred) kidneys using technetium-99m dimercaptosuccinic acid (99mTc-DMSA) single-photon-emission computed tomography (SPECT) in paediatric patients. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Clinical radiology | en_US |
dc.title | Differentiation between normal and abnormal kidneys using 99mTc-DMSA SPECT with deep learning in paediatric patients | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1016/j.crad.2023.04.015 | - |
dc.identifier.pmid | 37244824 | - |
dc.identifier.scopus | 2-s2.0-85160294626 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85160294626 | - |
dc.relation.journalvolume | 78 | en_US |
dc.relation.journalissue | 8 | en_US |
dc.relation.pageend | 589 | en_US |
item.fulltext | no fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Medical Device and Imaging | - |
crisitem.author.orcid | 0000-0002-1376-6262 | - |
crisitem.author.parentorg | College of Medicine | - |
顯示於: | 醫療器材與醫學影像研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。