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|a HEA
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|2 bisacsh
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|a MED
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|a Meyer-B�ase, Anke,
|e author.
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1 |
0 |
|a Pattern recognition and signal analysis in medical imaging /
|c Anke Meyer-Baese, Volker Schmid.
|
250 |
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|a Second edition.
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264 |
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1 |
|a Oxford, UK :
|b Academic Press,
|c 2014.
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264 |
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4 |
|c �2014
|
300 |
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|a 1 online resource (444 pages) :
|b illustrations.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Online resource title from digital title page; (viewed on May 31, 2022).
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|a List of Symbols -- 1. Introduction -- 2. Feature Selection and Extraction -- 3. Subband Coding and Wavelet Transform -- 4. The Wavelet Transform in Medical Imaging -- 5. Genetic Algorithms -- 6. Statistical and Syntactic Pattern Recognition -- 7. Foundations of Neural Networks -- 8. Transformation and Signal-Separation Neural Networks -- 9. Neuro-Fuzzy Classification -- 10. Specialized Neural Networks Relevant to Bioimaging -- 11. Spatio-Temporal Models in Functional and Perfusion Imaging -- 12. Analysis of Dynamic Susceptibility Contrast MRI Time-Series Based on Unsupervised Clustering Methods -- 13. Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI
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|a Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging.
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504 |
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|a Includes bibliographical references and index.
|
650 |
|
0 |
|a Diagnostic imaging.
|
650 |
|
0 |
|a Image processing.
|
650 |
|
0 |
|a Magnetic resonance imaging.
|
650 |
|
0 |
|a Pattern perception.
|
650 |
|
0 |
|a Pattern recognition systems.
|
650 |
|
2 |
|a Diagnostic Imaging
|x methods
|0 (DNLM)D003952Q000379
|
650 |
|
2 |
|a Pattern Recognition, Automated
|0 (DNLM)D010363
|
650 |
|
2 |
|a Image Processing, Computer-Assisted
|0 (DNLM)D007091
|
650 |
|
2 |
|a Mathematical Computing
|0 (DNLM)D008432
|
650 |
|
2 |
|a Diagnostic Imaging
|0 (DNLM)D003952
|
650 |
|
2 |
|a Magnetic Resonance Imaging
|0 (DNLM)D008279
|
650 |
|
6 |
|a Imagerie pour le diagnostic.
|0 (CaQQLa)201-0146124
|
650 |
|
6 |
|a Traitement d'images.
|0 (CaQQLa)201-0029952
|
650 |
|
6 |
|a Imagerie par r�esonance magn�etique.
|0 (CaQQLa)201-0143220
|
650 |
|
6 |
|a Perception des structures.
|0 (CaQQLa)201-0027390
|
650 |
|
6 |
|a Reconnaissance des formes (Informatique)
|0 (CaQQLa)201-0028094
|
650 |
|
7 |
|a image processing.
|2 aat
|0 (CStmoGRI)aat300237864
|
650 |
|
7 |
|a HEALTH & FITNESS
|x Diseases
|x General.
|2 bisacsh
|
650 |
|
7 |
|a MEDICAL
|x Clinical Medicine.
|2 bisacsh
|
650 |
|
7 |
|a MEDICAL
|x Diseases.
|2 bisacsh
|
650 |
|
7 |
|a MEDICAL
|x Evidence-Based Medicine.
|2 bisacsh
|
650 |
|
7 |
|a MEDICAL
|x Internal Medicine.
|2 bisacsh
|
650 |
|
7 |
|a Pattern recognition systems
|2 fast
|0 (OCoLC)fst01055266
|
650 |
|
7 |
|a Diagnostic imaging
|2 fast
|0 (OCoLC)fst00892354
|
650 |
|
7 |
|a Image processing
|2 fast
|0 (OCoLC)fst00967501
|
650 |
|
7 |
|a Magnetic resonance imaging
|2 fast
|0 (OCoLC)fst01005780
|
650 |
|
7 |
|a Pattern perception
|2 fast
|0 (OCoLC)fst01055254
|
700 |
1 |
|
|a Schmid, Volker,
|e author.
|
776 |
0 |
8 |
|i Print version:
|a Meyer-Baese, Anke.
|t Pattern Recognition and Signal Analysis in Medical Imaging.
|d Academic Press 2014
|z 1306548454
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780124095458
|z Texto completo
|