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

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Showing 351–400 of 424 papers

TitleStatusHype
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical ImagesCode0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?Code0
Medical Image Debiasing by Learning Adaptive Agreement from a Biased CouncilCode0
Chest X-Ray Images Classification with CNNCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Synthetic Medical Images from Dual Generative Adversarial NetworksCode0
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)Code0
Certification for Differentially Private Prediction in Gradient-Based TrainingCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier AnchoringCode0
Transfer Learning based Detection of Diabetic Retinopathy from Small DatasetCode0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
Explainability of Deep Neural Networks for Brain Tumor DetectionCode0
Estimating the Conformal Prediction Threshold from Noisy LabelsCode0
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical DiagnosisCode0
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural NetworksCode0
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive LearningCode0
MIAFEx: An Attention-based Feature Extraction Method for Medical Image ClassificationCode0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image ClassificationCode0
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases DetectionCode0
Emergent symbolic language based deep medical image classificationCode0
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring PluginCode0
Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM and PGGANs with Random and Greedy K SamplingCode0
Moving from 2D to 3D: volumetric medical image classification for rectal cancer stagingCode0
Robustness Stress Testing in Medical Image ClassificationCode0
Debiased Noise Editing on Foundation Models for Fair Medical Image ClassificationCode0
An Aggregate Method for Thorax Diseases ClassificationCode0
ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT ClassificationCode0
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseCode0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image ClassificationCode0
The Role of Subgroup Separability in Group-Fair Medical Image ClassificationCode0
Scale Federated Learning for Label Set Mismatch in Medical Image ClassificationCode0
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network ModelsCode0
Non-parametric regularization for class imbalance federated medical image classificationCode0
On dataset transferability in medical image classificationCode0
Capsule Networks against Medical Imaging Data ChallengesCode0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal RepresentationsCode0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
DiffExplainer: Unveiling Black Box Models Via Counterfactual GenerationCode0
Self-supervised learning for skin cancer diagnosis with limited training dataCode0
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per classCode0
Osteoporosis screening: Leveraging EfficientNet with complete and cropped facial panoramic radiography imagingCode0
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All datasetsNCT-CRC-HE-100KIDRiDImageNetPCOS ClassificationCheXphotoGalaxy10 DECalsISIC 2017ISIC 2020 Challenge DatasetMalaria DatasetOASIS 3

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Efficientnet-b0Accuracy (%)95.59—Unverified
2ResNeXt-50-32x4dAccuracy (%)95.46—Unverified
3RegNetY-3.2GFAccuracy (%)95.42—Unverified
4ResNet-50Accuracy (%)94.72—Unverified
5DenseNet-169Accuracy (%)94.41—Unverified
6Res2Net-50Accuracy (%)93.37—Unverified
7ResNet-18Accuracy (%)92.66—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152Accuracy (% )86.56—Unverified
2Beta-RankAccuracy81.88—Unverified
#ModelMetricClaimedVerifiedStatus
1DaViT-SGFLOPs8.8—Unverified
2DaViT-TGFLOPs4.5—Unverified
#ModelMetricClaimedVerifiedStatus
1InceptionV31:1 Accuracy90.2—Unverified
2EfficientNet B71:1 Accuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PTRNMean AUC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1AstroformerTop-1 Accuracy (%)94.87—Unverified
#ModelMetricClaimedVerifiedStatus
1Beta-RankAccuracy72.44—Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientNet EnsembleAUC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1SNAPSHOT ENSEMBLEF1 score99.37—Unverified
#ModelMetricClaimedVerifiedStatus
13D CNNAUC87—Unverified