Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Official Gazette
None
Retinal Optical Coherence Tomography Image Analysis
This book introduces the latest optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, and their applications in the diagnosis and treatment of retinal diseases. Discussing the basic principles and the clinical applications of OCT imaging, OCT image preprocessing, as well as the automatic detection and quantitative analysis of retinal anatomy and pathology, it includes a wealth of clinical OCT images, and state-of-the-art research that applies novel image processing, pattern recognition and machine learning methods to real clinical data. It is a valuable resource for researchers in both medical image processing and ophthalmic imaging.
Lord of All the Dead
Lord of All the Dead is a courageous journey into Javier Cercas' family history and that of a country collapsing from a fratricidal war. The author revisits Ibahernando, his parents' village in southern Spain, to research the life of Manuel Mena. This ancestor, dearly loved by Cercas' mother, died in combat at the age of nineteen during the battle of the Ebro, the bloodiest episode in Spain's history. Who was Manuel Mena? A fascist hero whose memory is an embarrassment to the author, or a young idealist who happened to fight on the wrong side? And how should we judge him, as grandchildren and great-grandchildren of that generation, interpreting history from our supposed omniscience and the misleading perspective of a present full of automatic answers, that fails to consider the particularities of each personal and family drama? Wartime epics, heroism and death are some of the underlying themes of this unclassifiable novel that combines road trips, personal confessions, war stories and historical scholarship, finally becoming an incomparable tribute to the author's mother and the incurable scars of an entire generation. Translated from the Spanish by Anne McLean
Nonlinearity in Living Systems: Theoretical and Practical Perspectives on Metrics of Physiological Signal Complexity
The biological basis of physiological signals is incredibly complex. While many types of research certainly appreciate molecular, cellular and systems approach to unravel overall biological complexity, in the recent decades the interest for mathematical and computational characterization of structural and functional basis underlying biological phenomena gain wide popularity among scientists. Nowadays, we witnessed wide range applications of nonlinear quantitative analysis that produced measures such as fractal dimension, power-law scaling, Hurst exponent, Lyapunov exponent, approximate entropy, sample entropy, Lempel–Ziv complexity, as well as other metrics for predictions of onset and pro...
World Congress of Medical Physics and Biomedical Engineering 2006
These proceedings of the World Congress 2006, the fourteenth conference in this series, offer a strong scientific program covering a wide range of issues and challenges which are currently present in Medical physics and Biomedical Engineering. About 2,500 peer reviewed contributions are presented in a six volume book, comprising 25 tracks, joint conferences and symposia, and including invited contributions from well known researchers in this field.
Image Segmentation
It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this boo...
Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods & Applications
Computational Anatomy (CA) is an emerging discipline aiming to understand anatomy by utilizing a comprehensive set of mathematical tools. CA focuses on providing precise statistical encodings of anatomy with direct application to a broad range of biological and medical settings. During the past two decades, there has been an ever-increasing pace in the development of neuroimaging techniques, delivering in vivo information on the anatomy and physiological signals of different human organs through a variety of imaging modalities such as MRI, x-ray, CT, and PET. These multi-modality medical images provide valuable data for accurate interpretation and estimation of various biological parameters ...
