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Medical Image Analysis

Papers

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Showing 401–450 of 1360 papers

TitleStatusHype
DDPM based X-ray Image Synthesizer—0
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects—0
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma—0
Sample selection with noise rate estimation in noise learning of medical image analysis—0
Responsible Deep Learning for Software as a Medical Device—0
Unsupervised Segmentation of Colonoscopy Images—0
Object Detection for Automated Coronary Artery Using Deep Learning—0
An Interpretable Deep Learning Approach for Skin Cancer CategorizationCode0
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation—0
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive NetworksCode1
CLIP in Medical Imaging: A SurveyCode2
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationCode0
Open World Object Detection in the Era of Foundation Models—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-PromptingCode1
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain ShiftsCode1
Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology BenchmarksCode1
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency—0
Learning Anatomically Consistent Embedding for Chest RadiographyCode1
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans—0
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation LearningCode1
PHG-Net: Persistent Homology Guided Medical Image ClassificationCode1
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation—0
EAFP-Med: An Efficient Adaptive Feature Processing Module Based on Prompts for Medical Image Detection—0
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformationCode1
UAE: Universal Anatomical Embedding on Multi-modality Medical ImagesCode1
LACFormer: Toward accurate and efficient polyp segmentationCode0
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy—0
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain AdaptationCode1
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Self-trained Panoptic Segmentation—0
GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images—0
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer—0
Be Careful When Evaluating Explanations Regarding Ground TruthCode0
Frequency Domain Decomposition Translation for Enhanced Medical Image Translation Using GANs—0
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects—0
Revolutionizing Healthcare Image Analysis in Pandemic-Based Fog-Cloud Computing Architectures—0
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging StudyCode1
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis—0
Improving Medical Visual Representations via Radiology Report Generation—0
Domain Generalization in Computational Pathology: Survey and Guidelines—0
Advancing Brain Tumor Detection: A Thorough Investigation of CNNs, Clustering, and SoftMax Classification in the Analysis of MRI Images—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationCode1
mage based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimizationCode0
Automated Localization of Blood Vessels in Retinal Images—0
JOSA: Joint surface-based registration and atlas construction of brain geometry and function—0
A comprehensive survey on deep active learning in medical image analysisCode1
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