SOTAVerified

Medical Image Classification

Medical Image Classification is a task in medical image analysis that involves classifying medical images, such as X-rays, MRI scans, and CT scans, into different categories based on the type of image or the presence of specific structures or diseases. The goal is to use computer algorithms to automatically identify and classify medical images based on their content, which can help in diagnosis, treatment planning, and disease monitoring.

Papers

Showing 301325 of 424 papers

TitleStatusHype
On evaluating CNN representations for low resource medical image classification0
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture0
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models0
Assessing Robustness to Noise: Low-Cost Head CT Triage0
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms0
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels0
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges0
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis0
A review of deep learning-based information fusion techniques for multimodal medical image classification0
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification0
Visualization approach to assess the robustness of neural networks for medical image classification0
Transfer learning for automatic brain tumor classification Using MRI Images.0
Applications of Sequential Learning for Medical Image Classification0
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification0
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification0
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning0
TransMed: Transformers Advance Multi-modal Medical Image Classification0
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes0
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification0
Application of the Neural Network Dependability Kit in Real-World Environments0
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation0
Uncertainties of Latent Representations in Computer Vision0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Efficientnet-b0Accuracy (%)95.59Unverified
2ResNeXt-50-32x4dAccuracy (%)95.46Unverified
3RegNetY-3.2GFAccuracy (%)95.42Unverified
4ResNet-50Accuracy (%)94.72Unverified
5DenseNet-169Accuracy (%)94.41Unverified
6Res2Net-50Accuracy (%)93.37Unverified
7ResNet-18Accuracy (%)92.66Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152Accuracy (% )86.56Unverified
2Beta-RankAccuracy81.88Unverified
#ModelMetricClaimedVerifiedStatus
1DaViT-SGFLOPs8.8Unverified
2DaViT-TGFLOPs4.5Unverified
#ModelMetricClaimedVerifiedStatus
1InceptionV31:1 Accuracy90.2Unverified
2EfficientNet B71:1 Accuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1PTRNMean AUC0.85Unverified
#ModelMetricClaimedVerifiedStatus
1AstroformerTop-1 Accuracy (%)94.87Unverified
#ModelMetricClaimedVerifiedStatus
1Beta-RankAccuracy72.44Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientNet EnsembleAUC0.95Unverified
#ModelMetricClaimedVerifiedStatus
1SNAPSHOT ENSEMBLEF1 score99.37Unverified
#ModelMetricClaimedVerifiedStatus
13D CNNAUC87Unverified