Segmentation of OCT Scans Using Probabilistic Graphical Models
The most prominent structure in retinal OCT images is the intra-retinal layers. Therefore layer segmentation is one of the most studied problems in OCT image processing. In this chapter, a probabilistic approach for retinal layer segmentation is presented
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Xinjian Chen · Fei Shi · Haoyu Chen Editors
Retinal Optical Coherence Tomography Image Analysis
Biological and Medical Physics, Biomedical Engineering
BIOLOGICAL AND MEDICAL PHYSICS, BIOMEDICAL ENGINEERING This series is intended to be comprehensive, covering a broad range of topics important to the study of the physical, chemical and biological sciences. Its goal is to provide scientists and engineers with textbooks, monographs, and reference works to address the growing need for information. The fields of biological and medical physics and biomedical engineering are broad, multidisciplinary and dynamic. They lie at the crossroads of frontier research in physics, biology, chemistry, and medicine. Books in the series emphasize established and emergent areas of science including molecular, membrane, and mathematical biophysics; photosynthetic energy harvesting and conversion; information processing; physical principles of genetics; sensory communications; automata networks, neural networks, and cellular automata. Equally important is coverage of applied aspects of biological and medical physics and biomedical engineering such as molecular electronic components and devices, biosensors, medicine, imaging, physical principles of renewable energy production, advanced prostheses, and environmental control and engineering.
Editor-in-Chief Bernard S. Gerstman, Department of Physics, Florida International University, Miami, FL, USA
Series Editors Masuo Aizawa, Tokyo Institute Technology, Tokyo, Japan Robert H. Austin, Princeton, NJ, USA James Barber, Wolfson Laboratories, Imperial College of Science Technology, London, UK
Xiang Yang Liu, Department of Physics, Faculty of Science, National University of Singapore, Singapore, Singapore David Mauzerall, Rockefeller University, New York, NY, USA
Howard C. Berg, Cambridge, MA, USA
Eugenie V. Mielczarek, Department of Physics and Astronomy, George Mason University, Fairfax, USA
Robert Callender, Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA
Markolf Niemz, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
George Feher, Department of Physics, University of California, San Diego, La Jolla, CA, USA
V. Adrian Parsegian, Physical Science Laboratory, National Institutes of Health, Bethesda, MD, USA
Hans Frauenfelder, Los Alamos, NM, USA
Linda S. Powers, University of Arizona, Tucson, AZ, USA
Ivar Giaever, Rensselaer Polytechnic Institute, Troy, NY, USA Pierre Joliot, Institute de Biologie Physico-Chimique, Fondation Edmond de Rothschild, Paris, France Lajos Keszthelyi, Biological Research Center, Hungarian Academy of Sciences, Szeged, Hungary
Earl W. Prohofsky, Department of Physics, Purdue University, West Lafayette, IN, USA Tatiana K. Rostovtseva, NICHD, National Institutes of Health, Bethesda, MD, USA Andrew Rubin, Department of Biophysics, Moscow State University, Moscow, Russia
Paul W. King, Biosciences Center and Photobiology, National Renewable Energy Laboratory, Lakewood, CO, USA
Michael Seibert, National R
