Medical Image Analysis Through A Texture Based Computer Aided Diagnosis Framework

"Current medical imaging scanners allow to obtain high resolution digital images with a complex. informative content expressed by the textural aspect of the membranes covering organs and. tissues (hereinafter objects). These textural information can be exploited to develop a descriptive. mathematical model of the objects to support heterogeneous activities within medical field. This. paper presents a framework based on the texture analysis to model the objects contained in the. layout of diagnostic images. By each specific model, the framework automatically also defines a. connected application supporting, on the related objects, different targets, such as: segmentation,. mass detection, reconstruction, and so on. The framework is tested on MRI images and results. are reported."