Biomedical Texture Analysis: Fundamentals, Tools and Challenges

Contents
Preface
1. Fundamentals of Texture Processing for Biomedical Image Analysis • Adrien Depeursinge, Julien Fageot, Omar S. Al-Kadi
2. Multiscale andMultidirectional Biomedical Texture Analysis • Adrien Depeursinge
3. Biomedical Texture Operators and Aggregation Functions • Adrien Depeursinge, Julien Fageot
4. Deep Learning in Texture Analysis and Its Application to Tissue Image Classification • Vincent Andrearczyk, Paul F. Whelan
5. Fractals for Biomedical Texture Analysis • Omar S. Al-Kadi
6. Handling of Feature Space Complexity for Texture Analysis in Medical Images • Yang Song, Weidong Cai
7. Rigid Motion Invariant Classification of 3D Textures and Its Application to Hepatic Tumor Detection • Sanat Upadhyay, Saurabh Jain, Manos Papadakis
8. An Introduction to Radiomics: An Evolving Cornerstone of Precision Medicine • Sara Ranjbar, J. Ross Mitchell
9. Deep Learning Techniques on Texture Analysis of Chest and Breast Images • Jie-Zhi Cheng, Chung-Ming Chen, Dinggang Shen
10. Analysis of Histopathology Images • Oscar Jimenez-del-Toro, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Mikael Rousson, Henning Müller, Manfredo Atzori
11. MaZda – A Framework for Biomedical Image Texture Analysis and Data Exploration • Piotr M. Szczypiński, Artur Klepaczko
12. QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT • Yashin Dicente Cid, Joël Castelli, Roger Schaer, Nathaniel Scher, Anastasia Pomoni, John O. Prior, Adrien Depeursinge
13. Web-Based Tools for Exploring the Potential of Quantitative Imaging Biomarkers in Radiology • Roger Schaer, Yashin Dicente Cid, Emel Alkim, Sheryl John, Daniel L. Rubin, Adrien Depeursinge
Index