Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health (Record no. 177406)

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001 - CONTROL NUMBER
control field 978-3-030-87722-4
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125405.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030877224
-- 978-3-030-87722-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-87722-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
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Subject category code COM016000
Source bisacsh
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Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
Medium [electronic resource] :
Remainder of title Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings /
Statement of responsibility, etc edited by Shadi Albarqouni, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios Tsaftaris, Daguang Xu, Ziyue Xu.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 -
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XV, 264 p. 95 illus., 90 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume number/sequential designation 12968
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Domain Adaptation and Representation Transfer -- A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis -- Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning -- FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation -- Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation -- Self-Supervised Multimodal Generalized Zero Shot Learning For Gleason Grading -- Self-Supervised Learning of Inter-Label Geometric Relationships For Gleason Grade Segmentation -- Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training -- Transductive image segmentation: Self-training and effect of uncertainty estimation -- Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation -- Cohort Bias Adaptation in Federated Datasets for Lesion Segmentation -- Exploring Deep Registration Latent Spaces -- Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift -- Unsupervised Domain Adaption via Similarity-based Prototypes for Cross-Modality Segmentation -- A ordable AI and Healthcare -- Classification and Generation of Microscopy Images with Plasmodium Falciparum via Arti cial Neural Networks using Low Cost Settings -- Contrast and Resolution Improvement of POCUS Using Self-Consistent CycleGAN -- Low-Dose Dynamic CT Perfusion Denoising without Training Data -- Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory -- COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19Patient Cases from Point-of-care Ultrasound Imaging -- Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning -- Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks -- Continual Domain Incremental Learning for Chest X-ray Classificationin Low-Resource Clinical Settings -- Deep learning based Automatic detection of adequately positioned mammograms -- Can non-specialists provide high quality Gold standard labels in challenging modalities.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical informatics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational and Systems Biology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Health Informatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Albarqouni, Shadi.
Relator term editor.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cardoso, M. Jorge.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dou, Qi.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kamnitsas, Konstantinos.
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Personal name Khanal, Bishesh.
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Personal name Rekik, Islem.
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Personal name Rieke, Nicola.
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Personal name Sheet, Debdoot.
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Personal name Tsaftaris, Sotirios.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Xu, Daguang.
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-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Xu, Ziyue.
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-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030877217
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030877231
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
-- 3004-9954 ;
Volume number/sequential designation 12968
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-87722-4">https://doi.org/10.1007/978-3-030-87722-4</a>
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Koha item type eBooks-CSE-Springer

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