LEADER 05213nam 22006975 450 001 9910767539303321 005 20240701112945.0 010 $a3-031-48593-9 024 7 $a10.1007/978-3-031-48593-0 035 $a(MiAaPQ)EBC30983233 035 $a(Au-PeEL)EBL30983233 035 $a(DE-He213)978-3-031-48593-0 035 $a(CKB)29181347700041 035 $a(EXLCZ)9929181347700041 100 $a20231201d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Image Understanding and Analysis $e27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19?21, 2023, Proceedings /$fedited by Gordon Waiter, Tryphon Lambrou, Georgios Leontidis, Nir Oren, Teresa Morris, Sharon Gordon 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (346 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14122 311 08$aPrint version: Waiter, Gordon Medical Image Understanding and Analysis Cham : Springer,c2024 9783031485923 320 $aIncludes bibliographical references and index. 327 $aSegmentation 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. 330 $aThis book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place in Aberdeen, UK, during July 19?21, 2023. The 24 full papers presented in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Image interpretation; radiomics, predictive models and quantitative imaging; image classification; and biomarker detection. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14122 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aApplication software 606 $aArtificial intelligence 606 $aMachine learning 606 $aSignal processing 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer and Information Systems Applications 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aSignal, Speech and Image Processing 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aSignal processing. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer and Information Systems Applications. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aSignal, Speech and Image Processing. 676 $a616.0754 702 $aWaiter$b Gordon 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767539303321 996 $aMedical Image Understanding and Analysis$93655360 997 $aUNINA