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An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization.
Kromp, Florian; Wagner, Raphael; Balaban, Basak; Cottin, Véronique; Cuevas-Saiz, Irene; Schachner, Clara; Fancsovits, Peter; Fawzy, Mohamed; Fischer, Lukas; Findikli, Necati; Kovacic, Borut; Ljiljak, Dejan; Martínez-Rodero, Iris; Parmegiani, Lodovico; Shebl, Omar; Min, Xie; Ebner, Thomas.
Affiliation
  • Kromp F; Software Competence Center Hagenberg, Data Science, Hagenberg, Austria. florian.kromp@scch.at.
  • Wagner R; Software Competence Center Hagenberg, Data Science, Hagenberg, Austria.
  • Balaban B; American Hospital of Istanbul, In vitro fertilization lab, Istanbul, Turkey.
  • Cottin V; Viollier AG, Assisted Reproduction Technologies, Basel, Switzerland.
  • Cuevas-Saiz I; Hospital General Universitario de Valencia, In vitro fertilization lab, Valencia, Spain.
  • Schachner C; Software Competence Center Hagenberg, Data Science, Hagenberg, Austria.
  • Fancsovits P; Semmelweis University, Department of Obstetrics and Gynecology, Division of Assisted Reproduction, Budapest, Hungary.
  • Fawzy M; IbnSina and Banon IVF Centers, In vitro fertilization lab, Sohag, Egypt.
  • Fischer L; Software Competence Center Hagenberg, Data Science, Hagenberg, Austria.
  • Findikli N; Bahceci Fulya IVF Centre Istanbul, In vitro fertilization lab, Istanbul, Turkey.
  • Kovacic B; University Medical Centre Maribor, Department of Reproductive Medicine and Gynecological Endocrinology, Maribor, Slovenia.
  • Ljiljak D; Sestre Milosrdnice University Hospital Center, Department of Gynecology and Obstetrics, Zagreb, Croatia.
  • Martínez-Rodero I; Universitat Autònoma de Barcelona, Laboratori de Fecundació In Vitro, Barcelona, Spain.
  • Parmegiani L; Next Fertility GynePro - NextClinic International, Bologna, Italy.
  • Shebl O; Kepler University Linz, Department of Gynecology, Obstetrics and Gynecological Endocrinology, Linz, Austria.
  • Min X; University Hospital Zurich, Department of Reproductive Endocrinology, Zurich, Switzerland.
  • Ebner T; Kepler University Linz, Department of Gynecology, Obstetrics and Gynecological Endocrinology, Linz, Austria.
Sci Data ; 10(1): 271, 2023 05 11.
Article de En | MEDLINE | ID: mdl-37169791

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Blastocyste / Intelligence artificielle / Fécondation in vitro Type d'étude: Prognostic_studies Limites: Female / Humans / Pregnancy Langue: En Journal: Sci Data Année: 2023 Type de document: Article Pays d'affiliation: Autriche

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Blastocyste / Intelligence artificielle / Fécondation in vitro Type d'étude: Prognostic_studies Limites: Female / Humans / Pregnancy Langue: En Journal: Sci Data Année: 2023 Type de document: Article Pays d'affiliation: Autriche