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- Q89741731 description "artículu científicu espublizáu en febreru de 2020" @default.
- Q89741731 description "scientific article published on 17 February 2020" @default.
- Q89741731 description "wetenschappelijk artikel" @default.
- Q89741731 description "наукова стаття, опублікована 17 лютого 2020" @default.
- Q89741731 name "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 name "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 type Item @default.
- Q89741731 label "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 label "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 prefLabel "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 prefLabel "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 P1433 Q89741731-1A8EE67C-0A21-44CA-A2D0-AF12EC4F10FE @default.
- Q89741731 P1476 Q89741731-FFF9363B-119D-49CF-A9C3-2DB3A49064FD @default.
- Q89741731 P2093 Q89741731-0039EB3B-4DD3-4EAC-8005-05AC1120B56C @default.
- Q89741731 P2093 Q89741731-01E54BE5-B0A7-4D4F-BD71-5C86604E194C @default.
- Q89741731 P2093 Q89741731-58D34392-67A1-4868-89A2-519965A930C6 @default.
- Q89741731 P2093 Q89741731-717F366D-1236-4DB9-857E-63E3A50BA5C7 @default.
- Q89741731 P2093 Q89741731-ADDA81FF-465E-41FC-BE79-D4E46A2D25A2 @default.
- Q89741731 P2093 Q89741731-D2881581-7ECB-4883-A2A4-BAFF4B1650C1 @default.
- Q89741731 P2093 Q89741731-D95BBE91-AD18-4EA9-A37B-88A90C3FA934 @default.
- Q89741731 P31 Q89741731-294DFC54-34C9-4AB4-A55E-CBA8FC8BC399 @default.
- Q89741731 P356 Q89741731-9F334594-F1D8-4DD5-96B8-CCD39F108531 @default.
- Q89741731 P4510 Q89741731-FFCF56CE-8C58-4402-86CB-BA81D9C3EE6C @default.
- Q89741731 P50 Q89741731-4A19E81F-A1AE-4AB4-9C79-12E43B043304 @default.
- Q89741731 P577 Q89741731-19610570-E9FA-49B7-B918-D7DF26F0A3E5 @default.
- Q89741731 P698 Q89741731-25C3C53A-D8C8-4C46-8B10-78755BA0C1F1 @default.
- Q89741731 P921 Q89741731-4A993EC9-524D-4065-BAE6-430765278534 @default.
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- Q89741731 P921 Q89741731-DC003764-70A1-4680-B822-E93ADA624F95 @default.
- Q89741731 P356 S00330-019-06652-4 @default.
- Q89741731 P698 32065285 @default.
- Q89741731 P1433 Q5413071 @default.
- Q89741731 P1476 "Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training" @default.
- Q89741731 P2093 "DaYoung Kim" @default.
- Q89741731 P2093 "Jeong Hoon Lee" @default.
- Q89741731 P2093 "Kyungmin Lee" @default.
- Q89741731 P2093 "Subin Heo" @default.
- Q89741731 P2093 "Sung Hyun An" @default.
- Q89741731 P2093 "Yong Jun Jung" @default.
- Q89741731 P2093 "Yong-Ho Jang" @default.
- Q89741731 P31 Q13442814 @default.
- Q89741731 P356 "10.1007/S00330-019-06652-4" @default.
- Q89741731 P4510 Q197536 @default.
- Q89741731 P50 Q89125722 @default.
- Q89741731 P577 "2020-02-17T00:00:00Z" @default.
- Q89741731 P698 "32065285" @default.
- Q89741731 P921 Q197536 @default.
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