Premium
EP27.16: Towards fully automated segmentation for the computed assessment of the fetal face from 3D ultrasound scans
Author(s) -
Biffi B.,
Dall'Asta A.,
Clark A.,
Paramasivam G.,
Dunaway D.,
Schievano S.,
Lees C.
Publication year - 2019
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1002/uog.21663
Subject(s) - segmentation , tracing , artificial intelligence , 3d ultrasound , atlas (anatomy) , medicine , computer vision , face (sociological concept) , computer science , ultrasound , dice , pattern recognition (psychology) , radiology , anatomy , mathematics , social science , sociology , geometry , operating system
fetal face from 3D ultrasound scans. Benedetta Biffi, Andrea Dall'Asta, Anna Clark, Gowrishankar Paramasivam, David Dunaway, Silvia Schievano, Christoph Lees 1. UCL Institute of Child Health & Great Ormond Street Hospital for Children, London, United Kingdom. 2.Queen Charlotte's and Chelsea Hospital, Imperial College London, United Kingdom. 3. Department of Medicine and Surgery, Obstetrics and Gynecology Unit, University of Parma, Parma, Italy. 4. Craniofacial Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom. 5. Department of Surgery and Cancer, Imperial College London, United Kingdom.