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
Astroformer: More Data Might not be all you need for ClassificationCode1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image ClassificationCode1
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and SegmentationCode1
Pretrained ViTs Yield Versatile Representations For Medical ImagesCode1
Standardized Medical Image Classification across Medical DisciplinesCode1
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive LearningCode1
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
PatchDropout: Economizing Vision Transformers Using Patch DropoutCode1
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image ClassificationCode1
Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesCode1
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
Evaluating histopathology transfer learning with ChampKitCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical ImagesCode1
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality BarrierCode1
Joint Learning of Localized Representations from Medical Images and ReportsCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
Malaria Parasite Detection using Efficient Neural EnsemblesCode1
ResNet strikes back: An improved training procedure in timmCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
Federated Semi-supervised Medical Image Classification via Inter-client Relation MatchingCode1
Rethinking Transfer Learning for Medical Image ClassificationCode1
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained EnvironmentsCode1
Meta-Learning with Fewer Tasks through Task InterpolationCode1
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement LearningCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image ClassificationCode1
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image TranslationCode1
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification ChallengeCode1
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
Semi-supervised Medical Image Classification with Global Latent MixingCode1
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
Tensor Networks for Medical Image ClassificationCode1
Res2Net: A New Multi-scale Backbone ArchitectureCode1
Evolutionary Neural AutoML for Deep LearningCode1
Semi-Supervised Deep Learning for Abnormality Classification in Retinal ImagesCode1
Densely Connected Convolutional NetworksCode1
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
Robust Training with Data Augmentation for Medical Imaging Classification—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers—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