Volumetric Image Classification using Homogeneous Decomposition and Dictionary Learning: A Study Using Retinal Optical Coherence Tomography for Detecting Age-related Macular Degeneration
Medical imaging is one of the most important breakthroughs in the management of various conditions. Such images are extensively used in day-to-day clinical practice to support the diagnosis, management and prognosis of medical conditions. The images of interest have tended to be two-dimensional (2D); but 3D or volumetric images, such as those produced using Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Optical Coherence tomography (OCT) are becoming increasingly prevalent. However, there has been no corresponding increase in the availability of software tools to support the analysis of large amounts of medical volumetric data.
Source: Computerized Medical Imaging and Graphics - Category: Radiology Authors: Abdulrahman Albarrak, Frans Coenen, Yalin Zheng Source Type: research
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