Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications.

1. Fundamentals of Texture Processing for Biomedical Image Analysis 2. Multi-Scale and Multi-Directional Biomedical Texture Analysis 3. Biomedical Texture Operators and Aggregation Functions 4. Deep Learning in Texture Analysis and its Application to Tissue Image Classification 5. Fractals for Biomedical Texture Analysis 6. Handling of Feature Space Complexity for Texture Analysis in Medical Images 7. Rigid Motion Invariant Classification of 3D Textures 8. An Introduction to Radiomics: An Evolving Cornerstone of Precision Medicine 9. Deep Learning Techniques on Texture Analysis of Chest and Breast Images 10. Analysis of Histopathology Images 11. MaZda - a Framework for Biomedical Image Texture Analysis and Data Exploration 12. QuantImage - An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT 13. Web-Based Tools for Exploring the Potential of Quantitative Imaging Biomarkers in Radiology