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05196nam a2200577 a 4500 |
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20120106123923.0 |
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111219s2011 pau fsb 000 0 eng d |
| 010 |
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|z 2011037853
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| 020 |
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|a 9781466600607 (ebook)
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| 020 |
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|z 9781466600591 (hardcover)
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| 020 |
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|z 9781466600614 (print & perpetual access)
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| 024 |
7 |
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|a 10.4018/978-1-46660-059-1
|2 doi
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| 035 |
# |
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|a (CaBNVSL)gtp00550563
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| 035 |
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|a (OCoLC)771415177
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| 040 |
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|a CaBNVSL
|c CaBNVSL
|d CaBNVSL
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| 050 |
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4 |
|a RC78.7.D53
|b M33 2011e
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| 082 |
0 |
4 |
|a 616.07/54
|2 23
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| 245 |
0 |
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|a Machine learning in computer-aided diagnosis
|b medical imaging intelligence and analysis /
|c Kenji Suzuki, editor.
|h [electronic resource] :
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| 260 |
# |
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|a Hershey, Pa. :
|b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
|c 2011.
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| 300 |
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|a electronic texts (431 p.) :
|b digital files.
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| 504 |
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|a Includes bibliographical references.
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| 505 |
0 |
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|a 1. Robustness studies of ultrasound CADx in breast cancer diagnosis / Nicholas P. Gruszauskas and Maryellen L. Giger -- 2. Digital image processing and machine learning techniques for the detection of architectural distortion in prior mammograms / Shantanu Banik, Rangaraj M. Rangayyan and J. E. Leo Desautels -- 3. Computer-aided detection and diagnosis for 3D X-ray based breast imaging / Gautam S. Muralidhar, Alan C. Bovik and Mia K. Markey -- 4. Relevance feedback as new tool for computer-aided diagnosis in image databases / Issam El Naqa, Jung Hun Oh and Yongyi Yang -- 5. Advanced fuzzy methods for mammography image analysis / Farhang Sahba, Anastasios Venetsanopoulos and Gerald Schaefer -- 6. Computerized detection of lung nodules on chest radiographs: application of bone suppression imaging by means of multiple massive-training ANNs / Sheng Chen and Kenji Suzuki -- 7. Techniques for the automated segmentation of lung in thoracic computed tomography scans / William F. Sensakovic and Samuel G. Armato -- 8. Clinical machine learning in action: CAD system design, development, tuning, and long-term experience / Yoshitaka Masutani ... [et al.] -- 9. Computer-aided detection of polyps in CT colonography by means of feature selection and massive-training support vector regression / Jian-Wu Xu and Kenji Suzuki -- 10. Content-based image retrieval for medical image analysis / Jianhua Yao and Ronald M. Summers --
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| 505 |
8 |
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|a 11. A model-driven bayesian method for polyp detection and false positive suppression in CT colonography computer-aided detection / Xujiong Ye and Greg Slabaugh -- 12. Computer-aided image analysis and detection of prostate cancer: using immunostaining for alpha-methylacyl-CoA racemase, p63, and high-molecular-weight cytokeratin / Yahui Peng, Yulei Jiang and Ximing J. Yang -- 13. Magnetic resonance image analysis for brain CAD systems with machine learning / Hidetaka Arimura ... [et al.] -- 14. CADrx for GBM brain tumors: predicting treatment response from changes in diffusion-weighted MRI / Jing Huo, Matthew S. Brown and Kazunori Okada -- 15. Autism diagnostics by 3D shape analysis of the corpus callosum / Ahmed Elnakib ... [et al.] -- 16. Neuroimage classification for early diagnosis of Alzheimer's disease / Yong Fan and Christos Davatzikos -- 17. Manifold learning for medical image registration, segmentation, and classification / Paul Aljabar, Robin Wolz and Daniel Rueckert -- 18. Learning manifolds: design analysis for medical applications / Diana Mateus ... [et al.] -- 19. Automatic organ localization on X-ray CT images by using ensemble-learning techniques / Xiangrong Zhou and Hiroshi Fujita -- 20. Applications of machine learning in real-time tumor localization / Ruijiang Li and Steve B. Jiang.
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| 506 |
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|a Restricted to subscribers or individual electronic text purchasers.
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| 520 |
3 |
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|a "This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.
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| 530 |
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|a Also available in print.
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| 538 |
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|a Mode of access: World Wide Web.
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| 588 |
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|a Description based on title screen (IGI Global, viewed December 19, 2011).
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| 650 |
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|a Diagnostic imaging
|x Digital techniques.
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| 650 |
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|a Image analysis.
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| 650 |
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|a Machine learning.
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| 653 |
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|a Automated segmentation computed tomography scans
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| 653 |
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|a Clinical machine learning
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| 653 |
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|a Computer-aided detection and diagnosis
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| 653 |
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|a Content-based image retrieval
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| 653 |
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|a Ensemble learning
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| 653 |
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|a Fuzzy methods for image analysis
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| 653 |
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|a Machine learning techniques
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| 653 |
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|a Magnetic resonance imaging
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| 653 |
# |
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|a Medical image registration, segmentation and classification
|
| 653 |
# |
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|a Relevance feedback
|
| 700 |
1 |
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|a Suzuki, Kenji,
|d 1968 Oct. 5-
|
| 710 |
2 |
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|a IGI Global.
|
| 776 |
0 |
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|c (Original)
|w (DLC)2011037853
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| 776 |
0 |
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|i Print version:
|w (DLC) 2011037853
|z 9781466600591
|z 1466600594
|
| 856 |
4 |
1 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-46660-059-1
|3 Chapter PDFs via platform:
|