Machine learning in computer-aided diagnosis: medical imaging intelligence and analysis
"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images" - Provided by publisher
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA
Medical Information Science Reference
[2012]
|
| Schriftenreihe: | Premier reference source
|
| Schlagworte: | |
| Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 URL des Erstveröffentlichers |
| Zusammenfassung: | "This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images" - Provided by publisher |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | 1 Online-Ressource (xxiii, 500 Seiten) |
| ISBN: | 9781466600607 9781466600614 |
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| 245 | 1 | 0 | |a Machine learning in computer-aided diagnosis |b medical imaging intelligence and analysis |c Kenji Suzuki, (University of Chicago, USA) |
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| 505 | 8 | |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 -- | |
| 505 | 8 | |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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Datensatz im Suchindex
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| contents | 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 -- 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 |
| ctrlnum | (OCoLC)1002247183 (DE-599)BVBBV044431287 |
| format | Electronic eBook |
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| id | DE-604.BV044431287 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-23T01:07:38Z |
| institution | BVB |
| isbn | 9781466600607 9781466600614 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029832672 |
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| physical | 1 Online-Ressource (xxiii, 500 Seiten) |
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| publishDate | 2012 |
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| spelling | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis Kenji Suzuki, (University of Chicago, USA) Hershey PA Medical Information Science Reference [2012] © 2012 1 Online-Ressource (xxiii, 500 Seiten) txt rdacontent c rdamedia cr rdacarrier Premier reference source Includes bibliographical references 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 -- 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 "This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images" - Provided by publisher Diagnostic imaging / Digital techniques Image analysis Machine learning Suzuki, Kenji edt Erscheint auch als Druck-Ausgabe 978-1-4666-0059-1 Erscheint auch als Druck-Ausgabe 1-4666-0059-4 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-46660-059-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis 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 -- 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 Diagnostic imaging / Digital techniques Image analysis Machine learning |
| title | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis |
| title_auth | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis |
| title_exact_search | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis |
| title_full | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis Kenji Suzuki, (University of Chicago, USA) |
| title_fullStr | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis Kenji Suzuki, (University of Chicago, USA) |
| title_full_unstemmed | Machine learning in computer-aided diagnosis medical imaging intelligence and analysis Kenji Suzuki, (University of Chicago, USA) |
| title_short | Machine learning in computer-aided diagnosis |
| title_sort | machine learning in computer aided diagnosis medical imaging intelligence and analysis |
| title_sub | medical imaging intelligence and analysis |
| topic | Diagnostic imaging / Digital techniques Image analysis Machine learning |
| topic_facet | Diagnostic imaging / Digital techniques Image analysis Machine learning |
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