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- Q91141514 description "article scientifique publié en 2019" @default.
- Q91141514 description "artículu científicu espublizáu n'ochobre de 2019" @default.
- Q91141514 description "im Oktober 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q91141514 description "scientific article published on 04 October 2019" @default.
- Q91141514 description "wetenschappelijk artikel" @default.
- Q91141514 description "наукова стаття, опублікована 4 жовтня 2019" @default.
- Q91141514 name "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
- Q91141514 name "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
- Q91141514 type Item @default.
- Q91141514 label "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
- Q91141514 label "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
- Q91141514 prefLabel "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
- Q91141514 prefLabel "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
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- Q91141514 P932 Q91141514-BB3EDB03-0C8B-411E-99BF-23574D06DE74 @default.
- Q91141514 P356 MCO.2019.1932 @default.
- Q91141514 P698 31692958 @default.
- Q91141514 P1433 Q27725125 @default.
- Q91141514 P1476 "Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images" @default.
- Q91141514 P2093 "Takahito Miyake" @default.
- Q91141514 P2093 "Yasunari Miyagi" @default.
- Q91141514 P304 "583-589" @default.
- Q91141514 P31 Q13442814 @default.
- Q91141514 P356 "10.3892/MCO.2019.1932" @default.
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- Q91141514 P577 "2019-10-04T00:00:00Z" @default.
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