3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models

Kidney segmentation is an essential step in developing any noninvasive computer-assisted diagnostic system for renal function assessment. This paper introduces an automated framework for 3D kidney segmentation from dynamic computed tomography (CT) images that integrates discriminative features from...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2017-01, Vol.2017 (2017), p.1-10
Hauptverfasser:	Gimel'farb, Georgy, Elmaghraby, Adel, Soliman, Ahmed, Khalifa, Fahmi, El-Baz, Ayman
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen - diagnostic imaging Acute Kidney Injury - diagnostic imaging Algorithms Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional - methods Kidney - diagnostic imaging Medical Informatics Models, Statistical Pattern Recognition, Automated Radiographic Image Interpretation, Computer-Assisted - methods Reproducibility of Results Tomography, X-Ray Computed
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