Medical Image Processing : Techniques and Applications
The field of medical imaging advances so rapidly that all of those working in it, scientists, engineers, physicians, educators and others, need to frequently update their knowledge in order to stay abreast of developments. While journals and periodicals play a crucial role in this, more extensive, i...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edición: | 1. |
| Colección: | Biological and Medical Physics, Biomedical Engineering
|
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Medical Image Processing, Texte imprimé, 9781461430223 • Medical Image Processing, Techniques and Applications, edited by Geoff Dougherty., New York, Springer Science+Business Media, 2011, 1 vol. (XV-380 p.), Biological and Medical Physics, Biomedical Engineering, 978-1-4419-9769-2 • Medical Image Processing, Texte imprimé, 9781441997807 • Medical Image Processing, Texte imprimé, 9781461430223 • Medical Image Processing, Techniques and Applications, edited by Geoff Dougherty., New York, Springer Science+Business Media, 2011, 1 vol. (XV-380 p.), Biological and Medical Physics, Biomedical Engineering, 978-1-4419-9769-2 • Medical Image Processing, Texte imprimé, 9781441997807 |
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| 245 | 1 | 0 | |a Medical Image Processing : |b Techniques and Applications |c edited by Geoff Dougherty. |
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| 505 | 1 | |a Preface Contributors Introduction Rapid Prototyping of Image Analysis Applications Seeded Segmentation Methods for Medical Image Analysis Deformable Models and Level Sets in Image Segmentation Fat Segmentation in Magnetic Resonance Images Angiographic Image Analysis Detecting and Analyzing Linear Structures in Biomedical Images: A Case Study Using Corneal Nerve Fibers Improving and Accelerating the Detection of Linear Features: Selected Applications in Biological Imaging Medical Imaging in the Diagnosis of Osteoporosis and Estimation of the Individual Bone Fracture Risk Applications of Medical Image Processing in the Diagnosis and Treatment of Spinal Deformity Image Analysis of Retinal Images Tortuosity as an Indicator of the Severity of Diabetic Retinopathy Medical Image Volumetric Visualization: Algorithms, Pipelines and Surgical Applications Sparse Sampling in MRI Digital Processing of Diffusion-Tensor Images of Avascular Tissues. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a The field of medical imaging advances so rapidly that all of those working in it, scientists, engineers, physicians, educators and others, need to frequently update their knowledge in order to stay abreast of developments. While journals and periodicals play a crucial role in this, more extensive, integrative publications that connect fundamental principles and new advances in algorithms and techniques to practical applications are essential. Medical Image Processing: Techniques and Applications meets this challenge and provides an enduring bridge in the ever expanding field of medical imaging. It serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on medical applications. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It presents a detailed approach to each application while emphasizing insight and tricks of the trade , and the applicability of techniques to other research areas. Although each chapter is written by an expert (or experts) in that area and is essentially self-contained, fundamental connections between the different topics are emphasized so that the book forms an integrated whole. The book is designed for end users who wish to update their skills and understanding with the latest techniques in image analysis. Providing unprecedented breadth and detail, it will be a valuable cross-disciplinary resource both at the graduate and specialist level. It is also well suited to supplement and motivate learning in graduate-level image processing classes within biomedical engineering, radiology and computer science. | ||
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