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- Q90954029 description "artículu científicu espublizáu n'agostu de 2018" @default.
- Q90954029 description "im August 2018 veröffentlichter wissenschaftlicher Artikel" @default.
- Q90954029 description "scientific article published on 14 August 2018" @default.
- Q90954029 description "wetenschappelijk artikel" @default.
- Q90954029 description "наукова стаття, опублікована в серпні 2018" @default.
- Q90954029 name "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 name "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 type Item @default.
- Q90954029 label "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 label "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 prefLabel "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 prefLabel "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 P1433 Q90954029-8C3F1318-58BC-43FA-BE81-26D188C4E29F @default.
- Q90954029 P1476 Q90954029-35AEA63A-ACE9-492F-ACAC-A676FBCF85F0 @default.
- Q90954029 P2093 Q90954029-2FB28470-1515-4381-972A-9318357509AA @default.
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- Q90954029 P2093 Q90954029-62D4F26A-44C9-4C87-9346-14A26ABF62B2 @default.
- Q90954029 P2093 Q90954029-89BE9547-4243-4B48-9BD4-058262BCA5A5 @default.
- Q90954029 P2093 Q90954029-96652AE2-644E-4C26-ADF1-4A0B87A47702 @default.
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- Q90954029 P304 Q90954029-4DBE7031-72DE-4453-A989-64AB2BC2D8EB @default.
- Q90954029 P31 Q90954029-E8CA56D6-9920-4B09-9EBB-D80A4952C115 @default.
- Q90954029 P356 Q90954029-01356BB9-6F32-4DB4-9232-40002DDAB6C6 @default.
- Q90954029 P433 Q90954029-6A62AE87-659E-41C8-B218-73E0F49E7B5D @default.
- Q90954029 P478 Q90954029-6C09ACFE-5142-4E7D-A53A-5E74BA330C28 @default.
- Q90954029 P577 Q90954029-171B3884-3D27-4BEC-A513-E6CF7FF27F19 @default.
- Q90954029 P698 Q90954029-42B15003-62AA-430D-B0B4-A27BD211EFE0 @default.
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- Q90954029 P356 S12194-018-0472-3 @default.
- Q90954029 P698 30109572 @default.
- Q90954029 P1433 Q27722838 @default.
- Q90954029 P1476 "Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network" @default.
- Q90954029 P2093 "Keiichi Jingu" @default.
- Q90954029 P2093 "Ken Takeda" @default.
- Q90954029 P2093 "Kengo Ito" @default.
- Q90954029 P2093 "Noriyuki Kadoya" @default.
- Q90954029 P2093 "Seiji Tomori" @default.
- Q90954029 P2093 "Takahito Chiba" @default.
- Q90954029 P2093 "Tomohiro Kajikawa" @default.
- Q90954029 P2093 "Yoshiki Takayama" @default.
- Q90954029 P304 "320-327" @default.
- Q90954029 P31 Q13442814 @default.
- Q90954029 P356 "10.1007/S12194-018-0472-3" @default.
- Q90954029 P433 "3" @default.
- Q90954029 P478 "11" @default.
- Q90954029 P577 "2018-08-14T00:00:00Z" @default.
- Q90954029 P698 "30109572" @default.
- Q90954029 P921 Q17084460 @default.