Image Analysis and Modeling in Ophthalmology
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Successful thermal modeling of the human eye helps in the early diagnosis of eye abnormalities such as inflammation, cataracts, diabetic retinopathy, and glaucoma-all leading causes of blindness. This book presents a unified work of eye imaging and modeling techniques that have been proposed and applied to ophthalmologic problems. It delves into various morphological, texture, higher order spectra, and wavelet transformation techniques used to extract important diagnostic features from images, which can then be analyzed by a data scientist for automated diagnosis.

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Produktbeschreibung
Successful thermal modeling of the human eye helps in the early diagnosis of eye abnormalities such as inflammation, cataracts, diabetic retinopathy, and glaucoma-all leading causes of blindness. This book presents a unified work of eye imaging and modeling techniques that have been proposed and applied to ophthalmologic problems. It delves into various morphological, texture, higher order spectra, and wavelet transformation techniques used to extract important diagnostic features from images, which can then be analyzed by a data scientist for automated diagnosis.
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Autorenporträt
E Y K Ng, received his PhD at Cambridge University. He is a faculty member at the Nanyang Technological University in the School of Mechanical and Aerospace Engineering. Ng is editor-in-chief for the J. of Mechanics in Medicine and Biology and J. Med. Imaging and Health Informatics; assoc. editor for Int. J. of Rotating Machinery, Computational Fluid Dynamics J., Int. J. of Breast Cancer, Chinese J. of Medicine, Open Medical Informatics J., Open Numerical Methods J., and J. of Healthcare Engineering; and strategy assoc. editor-in-chief for World J. of Clinical Oncology. Ng has published more than 255 SCI journal papers, and co-edited 11 books including Human Eye Imaging and Modeling by CRC (2011). U. Rajendra Acharya, PhD, DEng is a visiting faculty in Ngee Ann Polytechnic, Singapore. He is also an adjunct professor at the University of Malaya, Malaysia; adjunct faculty in Singapore Institute of Technology-University of Glasgow, Singapore; associate faculty in SIM University, Singapore; and adjunct faculty in Manipal Institute of Technology, Manipal, India. He received his Ph.D. from the National Institute of Technology Karnataka, Surathkal, India and D Engg from Chiba University, Japan. He has published more than 275 papers in refereed international SCI-IF journals, international conference proceedings, textbook chapters, and books. His major interests are in biomedical signal processing, bio-imaging, data mining, visualization, and biophysics. Aurélio Campilho, is a full professor in the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto (FEUP), Portugal. He served as president of the Biomedical Engineering Institute, as director of the doctoral program in Electrical and Computer Engineering at FEUP, and as a member of the Scientific Committee of the Master Degree in Bioengineering at the University of Porto. His current research interests include the areas of medical image analysis, image processing, and computer vision. He served as associate editor of the journals IEEE Transactions on Biomedical Engineering and of the Machine Vision Applications journal. He authored one book, co-edited 12 books, and published more than 150 papers in journals and conferences. Jasjit S. Suri, MS, PhD, MBA, Fellow AIMBE, has spent over 25 years in the field of biomedical engineering/sciences and its management. He received his masters from University of Illinois, Chicago, doctorate from University of Washington, Seattle, and executive management education from Weatherhead School of Management, Case Western Reserve University, Cleveland. Dr. Suri has written over 350 peer-reviewed publications, and is a committee member of several journals and companies. Dr. Suri was crowned with the President's Gold medal in 1980 and the Fellow of American Institute of Medical and Biological Engineering (AIMBE), awarded by National Academy of Sciences, Washington DC in 2004.