There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.

chapter Chapter 1|22 pages

Multimodal Imaging Radiomics and Machine Learning

ByGengbo Liu, Youngho Seo, Debasis Mitra, Benjamin L. Franc

chapter Chapter 2|24 pages

Multimodal Medical Image Fusion in NSCT Domain

ByGaurav Bhatnagar, Zheng Liu, Q.M. Jonathan Wu

chapter Chapter 3|24 pages

Computer Aided Diagnosis in Pre-Clinical Dementia: From Single-Modal Metrics to Multi-Modal Fused Methodologies

ByYi Lao, Sinchai Tsao, Natasha Lepore

chapter Chapter 4|32 pages

Automated Diagnosis and Prediction in Cardiovascular Diseases Using Tomographic Imaging

ByLisa Duff, Charalampos Tsoumpas

chapter Chapter 5|40 pages

Big Data in Computational Health Informatics

ByRuogu Fang, Yao Xiao, Jianqiao Tian, Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, S. S. Iyengar

chapter Chapter 6|26 pages

Fast Dual Optimization for Medical Image Segmentation

ByJing Yuan, Ismail Ben Ayed, Aaron Fenster

chapter Chapter 7|23 pages

Non-Parametric Bayesian Estimation of Rigid Registration for Multi-Contrast Data in Big Data Analysis

ByStathis Hadjidemetriou, Ismini Papageorgiou

chapter Chapter 8|11 pages

Multimodal Analysis in Biomedicine

ByMohammad-Parsa Hosseini, Aaron Lau, Kost Elisevich, Hamid Soltanian-Zadeh

chapter Chapter 9|19 pages

Towards Big Data in Acute Renal Rejection

ByMohamed Shehata, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Hassan Hajjdiab, Mohammed A. Badawy, Mohamed Abou El-Ghar, Ashraf M. Bakr, Amy C. Dwyer, Robert Keynton, Adel Elmaghraby, Ayman El-Baz

chapter Chapter 10|13 pages

Overview of Deep Learning Algorithms Applied to Medical Images

ByBehnaz Abdollahi, Ayman El-Baz, Hermann B. Frieboes

chapter Chapter 11|24 pages

Big Data in Prostate Cancer

ByIslam Reda, Ashraf Khalil, Mohammed Ghazal, Ahmed Shalaby, Mohammed Elmogy, Ahmed Aboelfetouh, Ali Mahmoud, Mohamed Abou El-Ghar, Ayman El-Baz

chapter Chapter 12|18 pages

Automatic Detection of Early Signs of Diabetic Retinopathy Based on Feature Fusion from OCT and OCTA Scans

ByNabila Eladawi, Ahmed ElTanboly, Mohammed Elmogy, Mohammed Ghazal, Ali Mahmoud, Ahmed Aboelfetouh, Alaa Riad, Magdi El-Azab, Jasjit S. Suri, Guruprasad Giridharan, Ayman El-Baz

chapter Chapter 13|19 pages

Computer Aided Diagnosis System for Early Detection of Diabetic Retinopathy Using OCT Images

ByAhmed ElTanboly, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Andrew Switala, Fatma Taher, Jasjit S. Suri, Robert Keynton, Ayman El-Baz