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Computer Aided Intervention and Diagnostics in Clinical and Medical Images / edited by J. Dinesh Peter, Steven Lawrence Fernandes, Carlos Eduardo Thomaz, Serestina Viriri.

Springer Nature - Springer Engineering eBooks 2019 English International Available online

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Format:
Book
Contributor:
Peter, J. Dinesh, editor.
Fernandes, Steven Lawrence, editor.
Eduardo Thomaz, Carlos, editor.
Viriri, Serestina, editor.
SpringerLink (Online service)
Series:
Engineering (Springer-11647)
Lecture notes in computational vision and biomechanics 2212-9391 ; 31.
Lecture Notes in Computational Vision and Biomechanics, 2212-9391 ; 31
Language:
English
Subjects (All):
Biomedical engineering.
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Biomedical Engineering and Bioengineering.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Local Subjects:
Biomedical Engineering and Bioengineering.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Physical Description:
1 online resource (VII, 301 pages) : 136 illustrations, 95 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care. This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented imaging physics and informatics, augmented-reality medical visualization, imaging modalities, computerized radiology, oncology, and surgery. Moreover, information on non-medical imaging that has medical applications such as multi-photon microscopy and confocal, photoacoustic imaging, optical microendoscope, infra-red radiation, and other imaging modalities is also represented.
Contents:
Chapter 1. Introduction
Chapter 2. Advances in Computer aided diagnostics on Clinical and Medical Images
Chapter 3. Data Compression and Anonimisation
Chapter 4. Human Computer Interaction
Chapter 5. Intelligent Imaging Systems
Chapter 6. Motion and Shape Analysis
Chapter 7. Super-resolution algorithms
Chapter 8. Statistical Methods in Imaging
Chapter 9. Clinical and Scientific Evaluation of Imaging Studies
Chapter 10. Imaging physics, systems analysis and modeling
Chapter 11. X-ray imaging and computed tomography
Chapter 12. Ultrasonic acquisition and processing
Chapter 13. Magnetic resonance imaging (MRI)
Chapter 14. Molecular imaging
Chapter 15. Digital pathology
Chapter 16. Emerging image acquisition technologies
Chapter 17. Tomographic image reconstruction
Chapter 18. Quantitative imaging
Chapter 19. Image processing and analysis
Chapter 20. Computer-aided detection and diagnosis
Chapter 21. Computational models
Chapter 22. Image-guided therapies
Chapter 23. Visual rendering of complex datasets
Chapter 24. Visual perception and observer performance
Chapter 25. Physiological and functional interpretation of image data
Chapter 26. Clinical evaluations of new technologies
Chapter 27. Image data management (storage, retrieval, transmission)
Chapter 28. Medical informatics
Chapter 29. Imaging for precision medicine
Chapter 30. Deep learning applied in Medical Imaging
Index.
Other Format:
Printed edition:
ISBN:
978-3-030-04061-1
9783030040611
Access Restriction:
Restricted for use by site license.

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