Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Topology correction of segmented medical images using a fast marching algorithm
Computer Methods and Programs in Biomedicine
Encephalic NMR image analysis by textural interpretation
Proceedings of the 2008 ACM symposium on Applied computing
Medical Image Segmentation Using Minimal Path Deformable Models With Implicit Shape Priors
IEEE Transactions on Information Technology in Biomedicine
A novel T-CAD framework to support medical image analysis and reconstruction
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
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The novel technologies used in different application domains allow to obtain digital images with a high complex informative content. These meaningful information are expressed by textural skin that covers the objects represented inside the images. The textural information can be exploited to interpret the semantic meaning of the images themselves. This paper provides a mathematical characterization, based on texture analysis, of the craniopharyngioma pathology distinguishing it from other kinds of primary cerebral tumors. By this characterization a prototype has been developed, which has primarily allowed to identify potential abnormal masses inside the cerebral tissue and subsequently to possibly classify them as craniopharyngiomas.