The textbook "Medical Image Tissue Analysis Using Spatial Texture Attributes and ANN" offers a comprehensive examination of texture analysis in medical images. It addresses the classification of textures, which is significant in various applications of pattern recognition. The analysis of texture parameters is highlighted as a valuable tool for extracting additional information from images. The book explores different classification systems and proposes variations to distinguish between different texture types based on specific features. These features are derived from various matrices, including Gray Level Co-occurrence Matrices (GLCM) and Run Length Matrices (RLM). The methods presented are applied to two datasets that encompass both natural and medical textures, thus providing a broad overview of the possibilities of texture analysis in medical image processing.