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OverviewFull Product DetailsAuthor: Gordon Waiter , Tryphon Lambrou , Georgios Leontidis , Nir OrenPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2024 Volume: 14122 Weight: 0.539kg ISBN: 9783031485923ISBN 10: 3031485920 Pages: 340 Publication Date: 02 December 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsSegmentation 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |