1. Volumetric image mining based on decomposition and graph analysis: An application to retinal optical coherence tomography

    Volumetric image mining based on decomposition and graph analysis: An application to retinal optical coherence tomography

    In this paper, we introduce a method for classifying volumetric images using a decomposition and graph analysis based method. Volume decomposition plays an important role in simplifying Three-Dimensional (3-D) volumes so as to enhance their analysis. Hierarchical decomposition techniques incrementally divide a given 3-D volume into sub-volumes according to some critical function and then (typically) represent the decomposition as a tree. The issue is the nature of the critical function which dictates when the decomposition should be stopped. Broadly the decomposition should be stopped whenever homogeneous sub-volumes are reached. The question is how we define homogeneity in this context. In ...

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