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Soft Cover. Condition: Good. Usual ex-library features. The interior is clean and tight. Binding is good. Cover shows slight wear. 198 pages. Ex-Library.
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
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Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures
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Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures
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Condition: New. pp. 290.
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Condition: New. pp. 208.
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Marginal Space Learning for Medical Image Analysis : Efficient Detection and Segmentation of Anatomical Structures
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Marginal Space Learning for Medical Image Analysis : Efficient Detection and Segmentation of Anatomical Structures
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Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures
Language: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1493955756 ISBN 13: 9781493955756
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Add to basketPaperback. Condition: Brand New. reprint edition. 288 pages. 9.00x6.00x0.75 inches. In Stock.
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Statistical Methods in Video Processing: ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers (Lecture Notes in Computer Science, 3247)
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Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures
Language: English
Published by Springer-Verlag New York Inc, 2014
ISBN 10: 1493905996 ISBN 13: 9781493905997
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Add to basketHardcover. Condition: Brand New. 285 pages. 9.50x6.50x1.00 inches. In Stock.
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Statistical Methods in Video Processing
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2004, 2004
ISBN 10: 3540239898 ISBN 13: 9783540239895
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The 2nd International Workshop on Statistical Methods in Video Processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision. A total of 30 papers were submitted to the workshop. Of these, 17 papers were accepted for presentation and included in these proceedings, following a double-blind review process. The workshop had 42 registered participants. The focus of the meeting was on recent progress in the application of - vanced statistical methods to solve computer vision tasks. The one-day scienti c program covered areas of high interest in vision research, such as dense rec- struction of 3D scenes, multibody motion segmentation, 3D shape inference, errors-in-variables estimation, probabilistic tracking, information fusion, optical owcomputation,learningfornonstationaryvideodata,noveltydetectionin - namic backgrounds, background modeling, grouping using feature uncertainty, and crowd segmentation from video. We wish to thank the authors of all submitted papers for their interest in the workshop.Wealsowishtothankthemembersofourprogramcommitteeandthe external reviewers for their commitment of time and e ort in providing valuable recommendations for each submission. We are thankful to Vaclav Hlavac, the General Chair of ECCV 2004, and to Radim Sara, for the local organization of the workshop and registration management. We hope you will nd these proceedings both inspiring and of high scienti c quality. 208 pp. Englisch.
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Marginal Space Learning for Medical Image Analysis
Language: English
Published by Springer New York, Springer US Apr 2014, 2014
ISBN 10: 1493905996 ISBN 13: 9781493905997
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number of data sets, Marginal Space Learning is also robust under imaging artifacts, noise and anatomical variations. The book showcases 35 clinical applications of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.
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Statistical Methods in Video Processing : ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers
Language: English
Published by Springer Berlin Heidelberg, 2004
ISBN 10: 3540239898 ISBN 13: 9783540239895
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 2nd International Workshop on Statistical Methods in Video Processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision. A total of 30 papers were submitted to the workshop. Of these, 17 papers were accepted for presentation and included in these proceedings, following a double-blind review process. The workshop had 42 registered participants. The focus of the meeting was on recent progress in the application of - vanced statistical methods to solve computer vision tasks. The one-day scienti c program covered areas of high interest in vision research, such as dense rec- struction of 3D scenes, multibody motion segmentation, 3D shape inference, errors-in-variables estimation, probabilistic tracking, information fusion, optical owcomputation,learningfornonstationaryvideodata,noveltydetectionin- namic backgrounds, background modeling, grouping using feature uncertainty, and crowd segmentation from video. We wish to thank the authors of all submitted papers for their interest in the workshop.Wealsowishtothankthemembersofourprogramcommitteeandthe external reviewers for their commitment of time and e ort in providing valuable recommendations for each submission. We are thankful to Vaclav Hlavac, the General Chair of ECCV 2004, and to Radim Sara, for the local organization of the workshop and registration management. We hope you will nd these proceedings both inspiring and of high scienti c quality.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number of data sets, Marginal Space Learning is also robust under imaging artifacts, noise and anatomical variations. The book showcases 35 clinical applications of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness.
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Marginal Space Learning for Medical Image Analysis : Efficient Detection and Segmentation of Anatomical Structures
Language: English
Published by Springer New York, Springer US, 2014
ISBN 10: 1493905996 ISBN 13: 9781493905997
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number of data sets, Marginal Space Learning is also robust under imaging artifacts, noise and anatomical variations. The book showcases 35 clinical applications of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness.
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Artificial Intelligence for Computational Modeling of the Heart
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Artificial Intelligence for Computational Modeling of the Heart
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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