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This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.
| Autorius: | Klaus D. Toennies |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2014 |
| Knygos puslapių skaičius: | 488 |
| ISBN-10: | 1447160967 |
| ISBN-13: | 9781447160960 |
| Formatas: | 235 x 155 x 27 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Guide to Medical Image Analysis: Methods and Algorithms“
