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Segmentation of fetal envelope from 3D Ultrasound images based on pixel intensity statistical distribution and shape priors

Sonia Dahdouh 1, 2 Antoine Serrurier Gilles Grangé Elsa D. Angelini 3 Isabelle Bloch 1, 2
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
3 LTCI - Laboratoire Traitement et Communication de l'Information
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Conference papers
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https://hal.telecom-paris.fr/hal-02286458
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 3:46:46 PM
Last modification on : Wednesday, September 30, 2020 - 8:54:14 AM

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  • HAL Id : hal-02286458, version 1

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LTCI | CNRS | PARISTECH | INSTITUT-TELECOM | IDS | IMAGES

Citation

Sonia Dahdouh, Antoine Serrurier, Gilles Grangé, Elsa D. Angelini, Isabelle Bloch. Segmentation of fetal envelope from 3D Ultrasound images based on pixel intensity statistical distribution and shape priors. International Symposium on Biomedical Imaging: From Nano to Macro ISBI'13, Apr 2013, San Francisco, United States. pp.1014-1017. ⟨hal-02286458⟩

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