Autore	Yap Moi Hoon
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (190 pages)
Disciplina	006.37
Altri autori (Persone)	KendrickConnah BrüngelRaphael
Collana	Lecture Notes in Computer Science
Soggetto topico	Computer vision Image processing - Digital techniques Signal processing Machine learning Application software Education - Data processing Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing Machine Learning Computer and Information Systems Applications Computers and Education
ISBN	9783031808715 3031808711
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation -- Dinov2 Mask R-CNN: Self-supervised Instance Segmentation of Diabetic Foot Ulcers -- Diabetic foot ulcer unsupervised segmentation with Vision Transformers attention -- Self-Supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation -- Multi-stage Segmentation of Diabetic Foot Ulcers Using Self-Supervised Learning -- SSL-based Encoder Pre-training for Segmenting a Heterogeneous Chronic Wound Image Database with Few Annotations -- Multi-Scale Attention Network for Diabetic Foot Ulcer Segmentation using Self-Supervised Learning -- A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024 -- CDe: Focus on the Color Differences in Diabetic Foot Images -- Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods.
Record Nr.	UNINA-9910983084703321

Autore	Yap Moi Hoon
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (435 pages)
Disciplina	006.37
Altri autori (Persone)	KendrickConnah BeheraArdhendu CootesTimothy ZwiggelaarReyer
Collana	Lecture Notes in Computer Science
Soggetto topico	Computer vision Artificial intelligence Computers Application software Computer Vision Artificial Intelligence Computing Milieux Computer and Information Systems Applications
ISBN	9783031669552 9783031669545
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- Advancement in Brain Imaging. -- Robust Multi-Modal Registration of Cerebral Vasculature. -- Towards Segmenting Cerebral Arteries from Structural MRI. -- Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation. -- Learning-based MRI Response Predictions from OCT Microvascular Models to Replace Simulation-based Frameworks. -- Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field. -- DeepDSMRI: Deep Domain Shift analyzer for MRI. -- Self-Supervised Pretraining for Cortial Surface Analysis. -- Spike Detection in Deep Brain Stimulation Surgery with Convolutional Neural Networks. -- Medical Images and Computational Models. -- Micro-CT Imaging Techniques for Visualizing Pinniped Mystacial Pad Musculature. -- SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. -- JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. -- Identification of skin diseases based on blind chromophore separation and artificial intelligence. -- Generating Chest Radiology Report Findings using a Multimodal Method. -- Image processing and machine learning techniques for Chagas disease detection and identification. -- Ensemble deep learning models for segmentation of prostate zonal anatomy and pathologically suspicious area. -- U-Net-driven image reconstruction for range verification in proton therapy. -- DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. -- PDSE: A Multiple Lesion Detector for CT Images Using PANet and Deformable Squeeze-and-Excitation Block. -- What is the Best Way to Fine-tune Self-supervised Medical Imaging Models. -- Digital Pathology, Histology and Microscopic Imaging. -- RoTIR: Rotation-Equivariant Network and Transformers for Zebrafish Scale Image Registration. -- GRU-Net: Gaussian attention aided dense skip connection based multiResU-Net for Breast Histopathology Image Segmentation. -- Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations. -- Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small Datasets. -- SPADESegResNet: Harnessing Spatially-adaptive Normalization for Breast Cancer Semantic Segmentation. -- Unsupervised Anomaly Detection on Histopathology Images Using Adversarial Learning and Simulated Anomaly. -- Nuclei-Location Based Point Set Registration of Multi-Stained Whole Slide Images. -- CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images. -- A Line Is All You Need: Weak Supervision For 2.5D Cell Segmentation.
Record Nr.	UNINA-9910878050803321

Autore	Yap Moi Hoon
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (471 pages)
Disciplina	006.37
Altri autori (Persone)	KendrickConnah BeheraArdhendu CootesTimothy ZwiggelaarReyer
Collana	Lecture Notes in Computer Science
Soggetto topico	Computer vision Artificial intelligence Computers Application software Computer Vision Artificial Intelligence Computing Milieux Computer and Information Systems Applications
ISBN	9783031669583
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- Dental and Bone Imaging. -- Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-Resolution Multi-Modal Data. -- Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. -- 3D Bone Shape from CT-Scans Provides an Objective Measure of Osteoarthritis Severity: data from the IMI-APPROACH study. -- CNN-based osteoporotic vertebral fracture prediction and risk assessment on MrOS CT data: Impact of CNN model architecture. -- Analysis of leg bones from whole body DXA in the UK Biobank. -- H-FCBFormer: Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper. -- Enhancing Low-Quality Medical Images. -- Ultrasound Confidence Maps with Neural Implicit Representation. -- Blurry Boundary Segmentation with Semantic-guided Feature Learning. -- SA-GCN: Scale Adaptive Graph Convolutional Network for ASD Identification. -- Resolution-Invariant Medical Image Segmentation using Fourier Neural Operators. -- YOLO-TL:A Tiny Object Segmentation Framework for Low Quality Medical Images. -- Superresolution of real-world multiscale bone CT verified with clinical bone measures. -- Reconstructing MRI parameters using a noncentral chi noise model. -- Domain Adaptation and Generalisation. -- AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. -- Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy. -- Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. -- Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. -- Prediction of total metabolic tumor volume from tissue-wise FDG-PET/CT projections, interpreted using cohort saliency analysis. -- Expert model prediction through feature matching. -- Enhancing Cross-Institute Generalisation of GNNs in Histopathology through Multiple Embedding Graph Augmentation (MEGA). -- PMT: Partial-Modality Translation Based on Diffusion Models for Prostate Magnetic Resonance and Ultrasound Image Registration. -- Fine-grained Medical Image Synthesis with Dual-Attention Adversarial Learning. -- Dermatology, Cardiac Imaging and Other Medical Imaging. -- Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. -- Optimizing Melanoma Prognosis through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. -- The Effect of Image Preprocessing Algorithms on Diabetic Foot Ulcer Classification. -- Synthetic Balancing of Cardiac MRI Datasets. -- EchoVisuAL: Efficient Segmentation of Echocardiograms using Deep Active Learning. -- Improving Automated Ultrasound Infant Hip Screening using an Integrated Clinical Classification Loss. -- Deep learning models to automate the scoring of hand radiographs for Rheumatoid Arthritis. -- Radiomic Analysis for Prediction of Preterm Birth. -- Hierarchical multi-label learning for musculoskeletal phenotyping in mice. -- MIUA 2023 Overlooked Paper. -- Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease using Machine Learning with Radiomics and ECG Markers.
Record Nr.	UNINA-9910878058203321