東華大學圖書館 |

Medical image understanding and analysis = 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical image understanding and analysis/ edited by Gordon Waiter ... [et al.].
Reminder of title:	27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings /
remainder title:	MIUA 2023
other author:	Waiter, Gordon.
corporate name:	Medical Image Understanding and Analysis (Conference)
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xi, 340 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-48593-0
ISBN:	9783031485930

Medical image understanding and analysis = 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings /
Medical image understanding and analysis27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings /[electronic resource] :MIUA 2023edited by Gordon Waiter ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xi, 340 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,141221611-3349 ;. - Lecture notes in computer science ;14122..

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.

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.

ISBN: 9783031485930

Standard No.: 10.1007/978-3-031-48593-0doiSubjects--Topical Terms:

879904
Diagnostic imaging
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Medical image understanding and analysis = 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings /
LDR:03817nmm a2200349 a 4500 001 2367663
003 DE-He213
005 20231201093517.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031485930 $q (electronic bk.)
020 $a 9783031485923 $q (paper)
024 7 $a 10.1007/978-3-031-48593-0 $2 doi
035 $a 978-3-031-48593-0
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b M489 2023
111 2 $a Medical Image Understanding and Analysis (Conference) $n (27th : $d 2023 : $c Aberdeen, Scotland) $3 3710965
245 1 0 $a Medical image understanding and analysis $h [electronic resource] : $b 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings / $c edited by Gordon Waiter ... [et al.].
246 3 $a MIUA 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xi, 340 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 14122
505 0 $a 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 $a 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 $a Diagnostic imaging $v Congresses. $3 879904
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 893542
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Signal, Speech and Image Processing. $3 3592727
700 1 $a Waiter, Gordon. $3 3710966
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 14122. $3 3710967
856 4 0 $u https://doi.org/10.1007/978-3-031-48593-0
950 $a Computer Science (SpringerNature-11645)