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 51–100 of 424 papers

TitleStatusHype
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
Standardized Medical Image Classification across Medical DisciplinesCode1
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification ChallengeCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised PretrainingCode1
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and SegmentationCode1
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
Interpretable Medical Image Classification using Prototype Learning and Privileged InformationCode1
Interpreting and Correcting Medical Image Classification with PIP-NetCode1
PHG-Net: Persistent Homology Guided Medical Image ClassificationCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
Malaria Parasite Detection using Efficient Neural EnsemblesCode1
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image ClassificationCode1
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
Densely Connected Convolutional NetworksCode1
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement LearningCode1
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationCode1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image ClassificationCode1
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive LearningCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive NetworksCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
Are Natural Domain Foundation Models Useful for Medical Image Classification?Code1
Evaluating histopathology transfer learning with ChampKitCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
Evolutionary Neural AutoML for Deep LearningCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State MatchingCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
Federated Semi-supervised Medical Image Classification via Inter-client Relation MatchingCode1
Astroformer: More Data Might not be all you need for ClassificationCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
Rethinking Transfer Learning for Medical Image ClassificationCode1
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical ImagesCode1
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image AnalysisCode0
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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