Academic Press Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Review Learn advanced methods - including Deep learning - for medical image analysis About the Author Dr. Deepika Koundal is currently associated with the University of Petroleum and Energy Studies, Dehradun. She has 12 years of teaching and research experience at many reputed Universities of India. She received her Bachelor Degree in Computer Science and Engineering from Kurukshetra University, Kurukshetra, India and subsequently her Masters and Doctorate Degrees in Computer Science & Engineering from Panjab University, Chandigarh, India. Her Ph.D. thesis is focused on Automated delineation of thyroid nodules in Ultrasound Images. She is actively pursuing research in Medical Image Processing. She is the awardee of Research excellence award given by Chitkara University in 2019. She also received the recognition and honorary membership from Neutrosophic Science Association from University of Mexico for her outstanding publication. She has published more than 30 research articles in reputed SCI and Scopus indexed journals and conferences. Prof. Savita Gupta (SG) is a Professor in the Department of Computer Science and Engineering, University Institute of Engineering and Technology (UIET), Panjab University. She has received her M.E degree from Thapar University and Ph.D. degree in Computer Science and Engineering from the Punjab Technical University, Jalandhar. She has been working in Panjab University for more than 11 years and is currently designated as Director, UIET, Panjab University. She is passionately performing her research activities in the field of Signal and Image Processing, Medical Image Analysis, Wavelets based Signal and Image processing, Artificial Intelligence and Cognitive neuroscience. Her contributions in the field of speckle noise reduction in Ultrasound images is widely acknowledged in the field of biomedical engineering. She has contributed more than 40 research papers in reputed journals and more than 30 conference articles are there to her credit. So far, 5 students have completed their Ph.D. and 9 students are currently pursuing Ph.D under her supervision. She has an h-index of 66 and i10 index of 481.