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Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge.

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第一作者： Ivana,Išgum

第一单位： Image Sciences Institute, University Medical Center Utrecht, Netherlands.

作者： Ivana,Išgum ^[1] ; Manon J N L,Benders ^[2] ; Brian,Avants ^[3] ; M Jorge,Cardoso ^[4] ; Serena J,Counsell ^[5] ; Elda Fischi,Gomez ^[6] ; Laura,Gui ^[7] ; Petra S,Hűppi ^[7] ; Karina J,Kersbergen ^[2] ; Antonios,Makropoulos ^[8] ; Andrew,Melbourne ^[4] ; Pim,Moeskops ^[1] ; Christian P,Mol ^[1] ; Maria,Kuklisova-Murgasova ^[5] ; Daniel,Rueckert ^[9] ; Julia A,Schnabel ^[10] ; Vedran,Srhoj-Egekher ^[11] ; Jue,Wu ^[3] ; Siying,Wang ^[10] ; Linda S,de Vries ^[2] ; Max A,Viergever ^[1]

作者单位： Image Sciences Institute, University Medical Center Utrecht, Netherlands. ^[1] Department of Neonatology, University Medical Center Utrecht, Netherlands. ^[2] Penn Image Computing and Science Lab, University of Pennsylvania, USA. ^[3] Centre for Medical Image Computing, University College London, United Kingdom. ^[4] Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, United Kingdom. ^[5] Division of Development and Growth, Department of Pediatrics, University of Geneva, Switzerland; Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. ^[6] Division of Development and Growth, Department of Pediatrics, University of Geneva, Switzerland. ^[7] Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, United Kingdom; Biomedical Image Analysis Group, Imperial College London, United Kingdom. ^[8] Biomedical Image Analysis Group, Imperial College London, United Kingdom. ^[9] Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom. ^[10] Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. ^[11]

关键词 Brain segmentation MRI Neonatal brain Segmentation comparison Segmentation evaluation