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
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image ClassificationCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State MatchingCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
Tensor Networks for Medical Image ClassificationCode1
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
Understanding Silent Failures in Medical Image ClassificationCode1
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality BarrierCode1
fastMONAI: A low-code deep learning library for medical image analysisCode1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Evaluating histopathology transfer learning with ChampKitCode1
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationCode1
Federated Semi-supervised Medical Image Classification via Inter-client Relation MatchingCode1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained EnvironmentsCode1
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationCode1
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical ImagesCode1
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image ClassificationCode1
Evolutionary Neural AutoML for Deep LearningCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
Are Natural Domain Foundation Models Useful for Medical Image Classification?Code1
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
Interpreting and Correcting Medical Image Classification with PIP-NetCode1
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
Meta-Learning with Fewer Tasks through Task InterpolationCode1
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
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
Astroformer: More Data Might not be all you need for ClassificationCode1
PatchDropout: Economizing Vision Transformers Using Patch DropoutCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
Deep Multimodal Guidance for Medical Image ClassificationCode1
Boosting for Bounding the Worst-class Error—0
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification—0
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
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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