Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors

Author:

Dahdouh Sonia,Angelini Elsa D.,Grangé Gilles,Bloch Isabelle

Funder

ANR

JST

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference42 articles.

1. Gestational sac and embryonic growth are not useful as criteria to define miscarriage: a multicenter observational study;Abdallah;Ultrasound Obst. Gynecol.,2011

2. Angelini, E.D., Song, T., Laine, A., 2006. Homogeneity measures for multiphase level set segmentation of brain MRI. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro ISBI’06, pp. 746–749.

3. Automatic segmentation of antenatal 3-d ultrasound images;Anquez;IEEE Trans. Biomed. Eng.,2013

4. Three-dimensional first trimester fetal volumetry: comparison with crown rump length;Aviram;Early Hum. Dev.,2004

5. Three-dimensional ultrasound volume calculations of human embryos and young fetuses: a study on the volumetry of compound structures and its reproducibility;Blaas;Ultrasound Obstet. Gynecol.,2006

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