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pro vyhledávání: '"Mohamed Abou El-Ghar"'
Publikováno v:
ICIP
A novel framework for precise segmentation of pathological lung tissues from computed tomography (CT) is presented. The proposed segmentation method is based on a novel 3D joint Markov-Gibbs random field (MGRF) model that integrates three features: (
Autor:
Ayman El-Baz, Mohamed Shehata, Ahmed Soliman, Fahmi Khalifa, Amy C. Dwyer, Mohamed Abou El-Ghar, Rosemary Ouseph, Rahaf Alrefai
Publikováno v:
ICIP
Developing any non-invasive computer-aided diagnostic (CAD) system for the diagnosis of kidney diseases essentially requires the extraction of the kidney from medical images. We propose a shape based level-set framework for 3D kidney segmentation fro