Conference Papers Year : 2018

Automatic Segmentation of the Cerebral Ventricle in Neonates Using Deep Learning with 3D Reconstructed Freehand Ultrasound Imaging

Matthieu Martin
Imagerie Ultrasonore
Bruno Sciolla
  • Function : Author
  • PersonId : 981491
Imagerie Ultrasonore
Michaël Sdika
Images et Modèles
CV
Xiaoyu Wang
  • Function : Author
Philippe Quétin
  • Function : Author
  • PersonId : 1202711
Centre Hospitalier Henri Duffaut (Avignon)
Philippe Delachartre
Imagerie Ultrasonore
CV

Domains

Medical Imaging Signal and Image Processing Machine Learning [stat.ML]
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https://hal.science/hal-02043054

Submitted on : Wednesday, January 10, 2024-2:59:08 PM

Last modification on : Wednesday, July 3, 2024-9:00:07 AM

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hal-02043054 , version 1 (10-01-2024)

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Matthieu Martin, Bruno Sciolla, Michaël Sdika, Xiaoyu Wang, Philippe Quétin, et al.. Automatic Segmentation of the Cerebral Ventricle in Neonates Using Deep Learning with 3D Reconstructed Freehand Ultrasound Imaging. 2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, Japan. pp.1-4, ⟨10.1109/ULTSYM.2018.8580214⟩. ⟨hal-02043054⟩

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