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Medical Image Analysis

Papers

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Showing 451–475 of 1360 papers

TitleStatusHype
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
Domain Generalization for Medical Image Analysis: A Review—0
Domain generalization for retinal vessel segmentation via Hessian-based vector field—0
Domain Generalization in Computational Pathology: Survey and Guidelines—0
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts—0
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?—0
Deep Learning applications for COVID-19—0
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples—0
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification—0
Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration—0
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives—0
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy—0
Deep image mining for diabetic retinopathy screening—0
Dynamic multi feature-class Gaussian process models—0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation—0
EAFP-Med: An Efficient Adaptive Feature Processing Module Based on Prompts for Medical Image Detection—0
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers—0
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI—0
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images—0
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis—0
Deep Generative Models for 3D Medical Image Synthesis—0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Can non-specialists provide high quality gold standard labels in challenging modalities?—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
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