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Medical Image Analysis

Papers

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Showing 376–400 of 1360 papers

TitleStatusHype
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Expert-Adaptive Medical Image Segmentation—0
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
A Survey on Domain Generalization for Medical Image AnalysisCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Second Order Kinematic Surface Fitting in Anatomical Structures—0
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesCode0
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
EndoGaussians: Single View Dynamic Gaussian Splatting for Deformable Endoscopic Tissues Reconstruction—0
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey—0
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement—0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
Slicer Networks—0
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic EncryptionCode0
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept AlignmentCode1
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
Segment Anything Model for Medical Image Segmentation: Current Applications and Future DirectionsCode5
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced ModalitiesCode0
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment PredictionCode1
DDPM based X-ray Image Synthesizer—0
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