Medical Image Understanding and Analysis (Record no. 87490)

000 -LEADER
fixed length control field 05535nam a22006735i 4500
001 - CONTROL NUMBER
control field 978-3-031-48593-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730171303.0
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fixed length control field 231201s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031485930
-- 978-3-031-48593-0
082 04 - CLASSIFICATION NUMBER
Call Number 006
245 10 - TITLE STATEMENT
Title Medical Image Understanding and Analysis
Sub Title 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023, Proceedings /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 340 p. 125 illus., 108 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI -- A Deep Learning Based Approach to Semantic Segmentation of Lung Tumour Areas in Gross Pathology Images -- Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation using Fine-Tuning Weak Labels for CT and Structural MRI -- M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks -- BliMSR: Blind degradation modelling for generating high-resolution medical images -- Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer -- Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI -- Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation -- Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Study -- Deep Facial Phenotyping with Mixup Augmentation -- Context Matters:Cross-domain Cell Detection in Histopathology Images via Contextual Regularization -- TON-ViT: A Neuro-Symbolic AI based on Task Oriented Network with a Vision Transformer -- A new similarity metric for deformable registration of MALDI-MS and MRI images -- Decoding Individual and Shared Experiences of Media Perception using CNN architectures -- Revolutionizing Cancer Diagnosis through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images -- Baseline Models for Action Recognition of Unscripted Casualty Care Dataset -- Web-based AI System for Medical Image Segmentation -- A new approach for identifying skin diseases from dermatological RGB images using source separation -- Pseudo-SPR map Generation from MRI using U-Net Architecture for Ion Beam Therapy Application -- Generalised 3D Medical Image Registration with Learned Shape Encodings -- Retinal Image Screening with Topological Machine Learning -- Neural Network Pruning for Real-time Polyp Segmentation -- A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx Algorithm -- Super Images - A New 2D Perspective on 3D Medical Imaging Analysis.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place in Aberdeen, UK, during July 19-21, 2023. The 24 full papers presented in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Image interpretation; radiomics, predictive models and quantitative imaging; image classification; and biomarker detection.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Digital techniques.
700 1# - AUTHOR 2
Author 2 Waiter, Gordon.
700 1# - AUTHOR 2
Author 2 Lambrou, Tryphon.
700 1# - AUTHOR 2
Author 2 Leontidis, Georgios.
700 1# - AUTHOR 2
Author 2 Oren, Nir.
700 1# - AUTHOR 2
Author 2 Morris, Teresa.
700 1# - AUTHOR 2
Author 2 Gordon, Sharon.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-48593-0
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Koha item type eBooks
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-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing
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-- Computer vision.
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-- Application software.
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-- Artificial intelligence.
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-- Machine learning.
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-- Signal processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Imaging, Vision, Pattern Recognition and Graphics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
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-- 1611-3349 ;
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