Medical Image Computing in Resource Constrained Settings : First International Workshop, MIRASOL 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

• Autore: Anazodo Udunna
• Pubblicazione: Cham : , : Springer, , 2026; ©2026
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (531 pages)
• Disciplina: 616.0754
• Altri autori: Anazodo
• Nota di contenuto: Lecture Notes in Computer Science -- Medical Image Computing in Resource Constrained Settings -- Preface -- Organization -- Contents -- Are ECGs Enough? Deep Learning Classification of Pulmonary Embolism Using Electrocardiograms -- Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling -- Multimodal Fusion for Melanoma Classification Using Dermoscopic Images and Clinical Metadata -- An Empirical Study on Liver Volumetry: Deep Learning-Based Estimation of Tumor and Remnant Liver Volumes for Preoperative Planning -- Towards Trustworthy Breast Tumor Segmentation in Ultrasound Using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation -- Lightweight 3D U-Net for Brain Tumor Segmentation on CPUs: Enabling Deep Learning in Low-Resource Environments -- Fetal Abdomen-Guided Ultrasound Reconstruction via Autoencoder For Optimal Frame Selection and Segmentation -- Recovering Diagnostic Value: Super-Resolution-Aided Echocardiographic Classification in Resource-Constrained Imaging -- SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays -- Uncertainty-Aware Evaluation of Deep Learning Object Detectors Under Scarce and Evolving Test Datasets -- Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings -- Enhancing and Accelerating Vessel Annotations in Medical Imaging -- LightDenoise-HL: A Compact Attention-Based Denoising Framework with Dual-Frequency Filtering for Endoscopic Imaging -- Accessible Skin Analysis: A Low-Cost Multispectral Imaging System with Skin-Mimicking Phantoms -- Development and Evaluation of an AI-Driven Telemedicine System for Prenatal Healthcare -- CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging -- Designing AI Algorithms to Suit Local Context. ; Global South Health Practitioners' Awareness and Perceptions of Integrating Artificial Intelligence in Radiological Workflows: A Quantitative Nationwide Study in Health Facilities in Zambia -- Attention-Enhanced Deep Learning for Multi-class Alzheimer's Disease Classification Using Macular OCT Images in Low-Resource Settings -- Resource-Efficient Glioma Segmentation on Sub-Saharan MRI -- TB Screening App: Smartphone Imaging of Tuberculin Skin Test Indurations for Latent Tuberculosis Screening in Low-Resource Settings -- Empowering Medical Equipment Sustainability in Low-Resource Settings: An AI-Powered Diagnostic and Support Platform for Biomedical Technicians -- AST-n: A Fast Sampling Approach for Low-Dose CT Reconstruction Using Diffusion Models -- SepsiGraph: A Graph-Based Multimodal Approach for Early Sepsis Prediction in Dynamic Resource-Constrained Clinical Settings -- Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings -- Deep Ensemble Approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings -- Non-invasive Mean Pulmonary Artery Pressure Prediction Using Multi-modal Feature Fusion of Chest X-Ray and ECG -- Large Scale DICOM Compliance Evaluation of Medical Image Data Elements in Low-Resource Settings -- EDGE-KD: Explainability-Driven Guidance for Efficient Knowledge Distillation in Chest X-Ray Classification -- Contour-Guided Segmentation and X-Ray Image Validation for Pneumonia Detection Using Mobile Deep Learning in Low-Resource Settings -- From Development to Deployment of AI-Assisted Telehealth and Screening for Vision and Hearing-Threatening Diseases in Resource-Constrained Settings: Field Observations, Challenges and Way Forward -- Author Index.
• Sommario/riassunto: This book constitutes the refereed proceedings of the First International Medical Image Computing in Resource Constrained Settings Workshop & Knowledge Interchange, MIRASOL 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea on September 27, 2025.
• Titolo autorizzato: Medical Image Computing in Resource Constrained Settings
• ISBN: 9783032136541
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996728010503316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science Series