Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Record no. 97061)
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| 001 - CONTROL NUMBER | |
| control field | 978-3-030-88210-5 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730202530.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030882105 |
| -- | 978-3-030-88210-5 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-88210-5 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1501-1820 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Deep Generative Models, and Data Augmentation, Labelling, and Imperfections |
| Medium | [electronic resource] : |
| Remainder of title | First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / |
| Statement of responsibility, etc. | edited by Sandy Engelhardt, Ilkay Oksuz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Nguyen, Raphael Sznitman, Yuan Xue. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XV, 278 p. 104 illus., 82 illus. in color. |
| Other physical details | 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 |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume/sequential designation | 13003 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | DGM4MICCAI 2021 - Image-to-Image Translation, Synthesis -- Frequency-Supervised MRI-to-CT Image Synthesis -- Ultrasound Variational Style Transfer to Generate Images Beyond the Observed Domain -- 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images -- Bridging the gap between paired and unpaired medical image translation -- Conditional generation of medical images via disentangled adversarial inference. -CT-SGAN: Computed Tomography Synthesis GAN -- Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference -- CaCL: class-aware codebook learning for weakly supervised segmentation on diffuse image patterns -- BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification -- Evaluating GANs in medical imaging -- DGM4MICCAI 2021 - AdaptOR challenge -- Improved Heatmap-based Landmark Detection -- Cross-domain Landmarks Detection in Mitral Regurgitation -- DALI2021 -- Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph -- Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency -- One-shot Learning for Landmarks Detection -- Compound Figure Separation of Biomedical Images with Side Loss -- Data Augmentation with Variational Autoencoders and Manifold Sampling -- Medical image segmentation with imperfect 3D bounding boxes -- Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal Images -- How Few Annotations are Needed for Segmentation using a Multi-planar U-Net? -- FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation -- An Efficient Data Strategy for the Detection of Brain Aneurysms from MRA with Deep Learning -- Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions -- Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation -- Label Noise in Segmentation Networks : Mitigation Must Deal with Bias -- DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization -- MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community. For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to machine learning systems. . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Image processing |
| General subdivision | Digital techniques. |
| 9 (RLIN) | 4145 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer vision. |
| 9 (RLIN) | 171925 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
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| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bioinformatics. |
| 9 (RLIN) | 9561 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 9 (RLIN) | 31569 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computational and Systems Biology. |
| 9 (RLIN) | 31619 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Engelhardt, Sandy. |
| Relator term | editor. |
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| Personal name | Oksuz, Ilkay. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhu, Dajiang. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yuan, Yixuan. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mukhopadhyay, Anirban. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Heller, Nicholas. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Huang, Sharon Xiaolei. |
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| 9 (RLIN) | 171932 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nguyen, Hien. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sznitman, Raphael. |
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| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Xue, Yuan. |
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| 9 (RLIN) | 171935 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 171936 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030882099 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030882112 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume/sequential designation | 13003 |
| 9 (RLIN) | 171937 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-88210-5">https://doi.org/10.1007/978-3-030-88210-5</a> |
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