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Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.
Coronado-Gutiérrez, David; Eixarch, Elisenda; Monterde, Elena; Matas, Isabel; Traversi, Paola; Gratacós, Eduard; Bonet-Carne, Elisenda; Burgos-Artizzu, Xavier P.
Affiliation
  • Coronado-Gutiérrez D; BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain, david.coronado@transmuralbiotech.com.
  • Eixarch E; Transmural Biotech S. L., Barcelona, Spain, david.coronado@transmuralbiotech.com.
  • Monterde E; BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
  • Matas I; Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.
  • Traversi P; Centre for Biomedical Research on Rare Diseases (CIBERER), Barcelona, Spain.
  • Gratacós E; BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
  • Bonet-Carne E; BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
  • Burgos-Artizzu XP; BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, University of Barcelona), Barcelona, Spain.
Fetal Diagn Ther ; 50(6): 480-490, 2023.
Article in En | MEDLINE | ID: mdl-37573787
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Female / Humans / Pregnancy Language: En Journal: Fetal Diagn Ther Journal subject: DIAGNOSTICO POR IMAGEM / OBSTETRICIA / PERINATOLOGIA Year: 2023 Document type: Article Country of publication: Suiza
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Female / Humans / Pregnancy Language: En Journal: Fetal Diagn Ther Journal subject: DIAGNOSTICO POR IMAGEM / OBSTETRICIA / PERINATOLOGIA Year: 2023 Document type: Article Country of publication: Suiza