Kidney Disease Identification Using Automatic 3D Segmentation
Journal Title: Elysium Journal of Engineering Research and Management - Year 2016, Vol 4, Issue 2
Abstract
Various layers of kidney can be affected by different kinds of disease. That is renal cortex, renal column, renal medulla and renal pelvis. For example, kidney tumor usually occurs in renal cortex, renal column hypertrophy may exist in renal column, medullary cystic kidney disease usually exists in renal medulla, transitional cell cancer and ureter cancer may attack renal pelvis. To proposed a fast fully automatic method for kidney components segmentation. There are two main parts in the proposed system, ie. Renal cortex localization and kidney layers segmentation. In the localization phase, a fast localization method which effectively combines 3D GHT and 3D AAM is proposed, which utilizes the global shape and texture information. In the segmentation phase, a modified RF method and a cortex thickness model are proposed to efficiently accomplish the multi-structure segmentation task. Finally obtain the diseases in kidney.
Authors and Affiliations
Saranya P, Ravi R
Keywords
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Kidney Disease Identification Using Automatic 3D Segmentation
Various layers of kidney can be affected by different kinds of disease. That is renal cortex, renal column, renal medulla and renal pelvis. For example, kidney tumor usually occurs in renal cortex, renal column hypertrop...
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