Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images.

This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments.


    • Research aspects in clinical and medical image processing
    • Human Computer Interaction and interface in imaging diagnostics
    • Intelligent Imaging Systems for effective analysis using machine learning algorithms
    • Clinical and Scientific Evaluation of Imaging Studies
    • Computer-aided disease detection and diagnosis
    • Clinical evaluations of new technologies
    • Mobility and assistive devices for challenged and elderly people

This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.

chapter 1|16 pages

A New Biomarker for Alzheimer’s Based on the Hippocampus Image Through the Evaluation of the Surface Charge Distribution

ByAldo A. Belardi, Fernandho de O. Freitas, Rodrigo P. Bechelli, Rodrigo G. G. Piva

chapter 2|24 pages

Independent Vector Analysis of Non-Negative Image Mixture Model for Clinical Image Separation

ByD. Sugumar, P. T. Vanathi, Xiao-Zhi Gao, Felix Erdmann Ott, M. S. Aezhisai Vallavi

chapter 3|10 pages

Rationalizing of Morphological Renal Parameters and eGFR for Chronic Kidney Disease Detection

ByDeepthy Mary Alex, D. Abraham Chandy, Anand Paul

chapter 4|16 pages

Human Computer Interface for Neurodegenerative Patients Using Machine Learning Algorithms

ByS. Ramkumar, G. Emayavaramban, J. Macklin Abraham Navamani, R. Renuga Devi, A. Prema, B. Booba, P. Sriramakrishnan

chapter 5|10 pages

Smart Mobility System for Physically Challenged People

ByS. Sundaramahalingam, B. V. Manikandan, K. Banumalar, S. Arockiaraj

chapter 6|8 pages


77The Cognitive Companion for Assisted Living of the Elderly
ByR. Krithiga

chapter 7|12 pages

Raspberry Pi Based Cancer Cell Detection Using Segmentation Algorithm

ByS. Yogashri, S. Jayanthy, C. Narendhar

chapter 8|8 pages

An AAC Communication Device for Patients with Total Paralysis

ByOshin R. Jacob, Sundar G. Naveen

chapter 9|12 pages

Case Studies on Medical Diagnosis Using Soft Computing Techniques

ByMary X. Anitha, Lina Rose, Aldrin Karunaharan, J. Anand Pushparaj

chapter 10|18 pages

Alzheimer’s Disease Classification Using Machine Learning Algorithms

ByS. Naganandhini, P. Shanmugavadivu, A. Asaithambi, M. Mohammed Mansoor Roomi

chapter 11|8 pages

Fetal Standard Plane Detection in Freehand Ultrasound Using Multi Layered Extreme Learning Machine

ByS. Jayanthi Sree, C. Vasanthanayaki

chapter 12|14 pages

Earlier Prediction of Cardiovascular Disease Using IoT and Deep Learning Approaches

ByR. Sivaranjani, N. Yuvaraj

chapter 13|12 pages

Analysis of Heart Disease Prediction Using Various Machine Learning Techniques

ByM. Marimuthu, S. Deivarani, R. Gayathri

chapter 14|14 pages

Computer-Aided Detection of Breast Cancer on Mammograms

169Extreme Learning Machine Neural Network Approach
ByM. Jayesh George, S. Perumal Sankar

chapter 16|4 pages

Investigations on Stabilization and Compression of Medical Videos

ByD. Raveena Judie Dolly, D. J. Jagannath, R. Anup Raveen Jaison

chapter 17|16 pages

An Automated Hybrid Methodology Using Firefly Based Fuzzy Clustering for Demarcation of Tissue and Tumor Region in Magnetic Resonance Brain Images

BySaravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj

chapter 18|12 pages

A Risk Assessment Model for Alzheimer’s Disease Using Fuzzy Cognitive Map

ByS. Meenakshi Ammal, L. S. Jayashree

chapter 19|8 pages

Comparative Analysis of Texture Patterns for the Detection of Breast Cancer Using Mammogram Images

ByJ. Shiny Christobel, J. Joshan Athanesious

chapter 20|14 pages

Analysis of Various Color Models for Endoscopic Images

ByCaren Babu, Anand Paul, D. Abraham Chandy

chapter 21|10 pages

Adaptive Fractal Image Coding Using Differential Scheme for Compressing Medical Images

ByP. Chitra, M. Mary Shanthi Rani, V. Sivakumar