Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : (Record no. 200467686)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 200467686
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260327111333.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210929s2021 sz | o |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3030882101
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-88210-5
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CKB)4100000012037949
System control number (MiAaPQ)EBC6737964
System control number (Au-PeEL)EBL6737964
System control number (OCoLC)1272992911
System control number (PPN)258052007
System control number (BIP)81776914
System control number (BIP)81403753
System control number (DE-He213)978-3-030-88210-5
System control number (EXLCZ)994100000012037949
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number WN 180
Item number D311 2011
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYT
Source bicssc
Subject category code COM016000
Source bisacsh
Subject category code UYT
Source thema
096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC)
Classification number WN 180
Item number D311 2011EBK
245 10 - TITLE STATEMENT
Title Deep Generative Models, and Data Augmentation, Labelling, and Imperfections :
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 1 online resource (285 pages)
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 Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 13003
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note
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) 118
Topical term or geographic name entry element Computer vision.
9 (RLIN) 2455
Topical term or geographic name entry element Artificial intelligence.
Topical term or geographic name entry element Bioinformatics.
9 (RLIN) 1895
Topical term or geographic name entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
Topical term or geographic name entry element Artificial Intelligence.
Topical term or geographic name entry element Computational and Systems Biology.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
Source of term local
9 (RLIN) 2032
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Engelhardt, Sandy,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
International Standard Book Number 3-030-88209-8
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
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Springerlink
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-3-030-88210-5">https://link.springer.com/book/10.1007/978-3-030-88210-5</a>
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme National Library of Medicine
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Full call number Barcode Date last seen Cost, replacement price Date shelved Koha item type
    National Library of Medicine Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 22/07/2025   0.00 BİL/TIP WN 180 D311 2011 EBK03936 22/07/2025 0.00 22/07/2025 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.