Deep learning for medical image analysis / (Record no. 541772)
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| fixed length control field | 06193cam a2200613Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | ocn970041768 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20180529115943.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170126s2017 enk ob 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2016960969 |
| 019 ## - | |
| -- | 970391734 |
| -- | 970614077 |
| -- | 970754560 |
| -- | 971041198 |
| -- | 971079124 |
| -- | 971228510 |
| -- | 971343951 |
| -- | 972237768 |
| -- | 976000729 |
| -- | 1005837908 |
| -- | 1008955639 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128104095 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128104090 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9780128104088 |
| Qualifying information | (print) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 0128104082 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)970041768 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Transcribing agency | DLC |
| Modifying agency | AU |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Alfaisal Main Library |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | RC78.7.D53 |
| 060 #4 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER | |
| Classification number | WN 180 |
| 245 00 - TITLE STATEMENT | |
| Title | Deep learning for medical image analysis / |
| Statement of responsibility, etc | edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | London, United Kingdom : |
| Name of producer, publisher, distributor, manufacturer | Academic Press is an imprint of Elsevier, |
| Date of production, publication, distribution, manufacture | [2017] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | [2017] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | computer |
| Media Type Code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | online resource |
| Carrier Type Code | cr |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | The Elsevier and MICCAI Society book series |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Front Cover; Deep Learning for Medical Image Analysis; Copyright; Contents; Contributors; About the Editors; Foreword; Part 1 Introduction; 1 An Introduction to Neural Networks and Deep Learning; 1.1 Introduction; 1.2 Feed-Forward Neural Networks; 1.2.1 Perceptron; 1.2.2 Multi-Layer Neural Network; 1.2.3 Learning in Feed-Forward Neural Networks; 1.3 Convolutional Neural Networks; 1.3.1 Convolution and Pooling Layer; 1.3.2 Computing Gradients; 1.4 Deep Models; 1.4.1 Vanishing Gradient Problem; 1.4.2 Deep Neural Networks; 1.4.3 Deep Generative Models; 1.5 Tricks for Better Learning. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1.5.1 Rectified Linear Unit (ReLU)1.5.2 Dropout; 1.5.3 Batch Normalization; 1.6 Open-Source Tools for Deep Learning; References; Notes; 2 An Introduction to Deep Convolutional Neural Nets for Computer Vision; 2.1 Introduction; 2.2 Convolutional Neural Networks; 2.2.1 Building Blocks of CNNs; 2.2.2 Depth; 2.2.3 Learning Algorithm; 2.2.4 Tricks to Increase Performance; 2.2.5 Putting It All Together: AlexNet; 2.2.6 Using Pre-Trained CNNs; 2.2.7 Improving AlexNet; 2.3 CNN Flavors; 2.3.1 Region-Based CNNs; 2.3.2 Fully Convolutional Networks; 2.3.3 Multi-Modal Networks; 2.3.4 CNNs with RNNs. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2.3.5 Hybrid Learning Methods2.4 Software for Deep Learning; References; Part 2 Medical Image Detection and Recognition; 3 Efficient Medical Image Parsing; 3.1 Introduction; 3.2 Background and Motivation; 3.2.1 Object Localization and Segmentation: Challenges; 3.3 Methodology; 3.3.1 Problem Formulation; 3.3.2 Sparse Adaptive Deep Neural Networks; 3.3.3 Marginal Space Deep Learning; 3.3.4 An Artificial Agent for Image Parsing; 3.4 Experiments; 3.4.1 Anatomy Detection and Segmentation in 3D; 3.4.2 Landmark Detection in 2D and 3D; 3.5 Conclusion; Disclaimer; References. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 4 Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition4.1 Introduction; 4.2 Related Work; 4.3 Methodology; 4.3.1 Problem Statement and Framework Overview; 4.3.2 Learning Stage I: Multi-Instance CNN Pre-Train; 4.3.3 Learning Stage II: CNN Boosting; 4.3.4 Run-Time Classification; 4.4 Results; 4.4.1 Image Classification on Synthetic Data; 4.4.2 Body-Part Recognition on CT Slices; 4.5 Discussion and Future Work; References; 5 Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks; 5.1 Introduction; 5.2 Related Work. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5.3 CIMT Protocol5.4 Method; 5.4.1 Convolutional Neural Networks (CNNs); 5.4.2 Frame Selection; 5.4.3 ROI Localization; 5.4.4 Intima-Media Thickness Measurement; 5.5 Experiments; 5.5.1 Pre- and Post-Processing for Frame Selection; 5.5.2 Constrained ROI Localization; 5.5.3 Intima-Media Thickness Measurement; 5.5.4 End-to-End CIMT Measurement; 5.6 Discussion; 5.7 Conclusion; Acknowledgement; References; Notes; 6 Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images; 6.1 Introduction; 6.2 Method; 6.2.1 Coarse Retrieval Model; 6.2.2 Fine Discrimination Model. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 588 0# - | |
| -- | Online resource; title from PDF title page (ScienceDirect, viewed February 2, 2017). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis"-- |
| -- | provided by publisher. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Safari Books Online |
| Provenance (VM) [OBSOLETE] | Safari Tech Books Online |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Elsevier |
| Provenance (VM) [OBSOLETE] | ScienceDirect All Books |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Diagnostic imaging |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image analysis. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MEDICAL |
| General subdivision | Diagnostic Imaging |
| -- | General. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Diagnostic imaging |
| General subdivision | Data processing. |
| Source of heading or term | fast |
| -- | (OCoLC)fst00892357 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image analysis. |
| Source of heading or term | fast |
| -- | (OCoLC)fst00967482 |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Diagnostic Imaging. |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | local |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhou, S. Kevin, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Greenspan, Hayit, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shen, Dinggang, |
| Relator term | editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | ScienceDirect eBooks. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version: |
| Title | Deep learning for medical image analysis. |
| Place, publisher, and date of publication | London, United Kingdom : Academic Press is an imprint of Elsevier, [2017] |
| International Standard Book Number | 9780128104088 |
| -- | 0128104082 |
| Record control number | (OCoLC)957503470 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Elsevier and MICCAI Society book series. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://ezproxy.alfaisal.edu/login?url=http://my.safaribooksonline.com/9780128104095?tocview=true">http://ezproxy.alfaisal.edu/login?url=http://my.safaribooksonline.com/9780128104095?tocview=true</a> |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://ezproxy.alfaisal.edu/login?url=https://www.sciencedirect.com/science/book/9780128104088">http://ezproxy.alfaisal.edu/login?url=https://www.sciencedirect.com/science/book/9780128104088</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | eBooks |
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