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Detection of malignant tumors in the diagnostic phase is a concern of clinicians, radiologists and oncologists. Medical images contribute greatly to early diagnosis. The use of data extraction techniques from 2D / 3D medical images of human tissues suspected of tumors and the use of statistical techniques are efficient for the detection of these tumors. This paper discusses recent advances in understanding the segmentation and representation of visual textures, in order to show predictive and probabilistic models through the analysis of human tissue textures. Texture feature is an important source of information for the process of image analysis and interpretation.

Use of Statistical Techniques to Analyze Textures in Medical Images for Tumor Detection and Evaluation