Handbook of Texture Analysis (eBook, PDF)

AI-Based Medical Imaging Applications
Redaktion: El-Baz, Ayman; Suri, Jasjit S.; Ghazal, Mohammed

• Format: PDF

Produktbeschreibung

This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 270
• Erscheinungstermin: 21. Juni 2024
• Englisch
• ISBN-13: 9781040008904
• Artikelnr.: 72281965

Autorenporträt

Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at Alamein International University (UofL-AIU), New Alamein City, Egypt. Dr. El-Baz earned his B.Sc. and M.Sc. degrees in electrical engineering in 1997 and 2001, respectively. He earned his Ph.D. in electrical engineering from the University of Louisville in 2006. Dr. El-Baz was named as a Fellow for IEEE, Coulter, AIMBE and NAI for his contributions to the field of biomedical translational research. Dr. El-Baz has almost two decades of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 700 technical articles. Mohammed Ghazal is a Professor and Chairman of the Department of Electrical, Computer, and Biomedical Engineering at the College of Engineering, Abu Dhabi University, UAE. His research areas are bioengineering, image and video processing, and smart systems. He received his Ph.D and M.A.Sc in Electrical and Computer Engineering (ECE) from Concordia University in Montreal Canada in 2010 and 2006, respectively, and his B.Sc. in Computer Engineering from the American University of Sharjah (AUS) in 2004. He has received multiple awards including the Distinguished Faculty Award of Abu Dhabi University in 2017 and 2014. Dr. Ghazal has authored or co-authored over 70 publications in recognized international journals and conferences including IEEE Transactions in Image Processing, IEEE Transactions in Circuits and Systems for Video Technology, IEEE Transactions in Consumer Electronics, Elsevier's Renewable Energy Reviews, and Springer's Multimedia Tools and Applications. Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. He received his Ph.D. from the University of Washington, Seattle and his Business Management Sciences degree from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with President's Gold medal in 1980 and made Fellow of the American Institute of Medical and Biological Engineering for his outstanding contributions. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management.

Inhaltsangabe

1 An Exploratory Review on Local Binary Descriptors for Texture
Classification 2 Precision Grading of Glioma: A System for Accurate
Diagnosis and Treatment Planning 3 Enhancing Accuracy in Liver Tumor
Detection and Grading: A Computer-Aided Diagnostic System 4 Texture
Analysis in Radiology 5 Texture Analysis Using a Self-Organizing Feature
Map 6 Sensor-Based Human Activity Recognition Analysis Using Machine
Learning and Topological Data Analysis (TDA) 7 Application of Texture
Analysis in Retinal OCT Imaging 8 Automation in Pneumonia Detection
9 Texture for Neuroimaging 10 A Multimodal MR-Based CAD System for Precise
Assessment of Prostatic Adenocarcinoma 11 Texture Analysis in Cancer
Prognosis