3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest

In this paper, a fully automatic method is proposed to segment the kidney into multiple components: renal cortex, renal column, renal medulla and renal pelvis, in clinical 3D CT abdominal images. The proposed fast automatic segmentation method of kidney consists of two main parts: localization of re...

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Veröffentlicht in:	IEEE transactions on medical imaging 2016-06, Vol.35 (6), p.1395-1407
Hauptverfasser:	Jin, Chao, Shi, Fei, Xiang, Dehui, Jiang, Xueqing, Zhang, Bin, Wang, Ximing, Zhu, Weifang, Gao, Enting, Chen, Xinjian
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Active appearance model Active appearance models Automation Brain models Cortexes Decision Trees generalized Hough transform Humans Image segmentation Imaging, Three-Dimensional - methods Kidney Kidney - diagnostic imaging Kidneys Localization Machine Learning Models, Theoretical Pelvis Position (location) Radiography, Abdominal random forests renal column renal cortex renal medulla renal pelvis Segmentation Three dimensional Three dimensional models Three-dimensional displays Tomography, X-Ray Computed
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