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 1–50 of 424 papers

TitleStatusHype
MONAI: An open-source framework for deep learning in healthcareCode5
Deep Residual Learning for Image RecognitionCode4
RegNet: Self-Regulated Network for Image ClassificationCode4
MedMamba: Vision Mamba for Medical Image ClassificationCode4
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksCode3
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image ClassificationCode2
DaViT: Dual Attention Vision TransformersCode2
MedViT: A Robust Vision Transformer for Generalized Medical Image ClassificationCode2
Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood AttentionCode2
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification ChallengeCode1
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image ClassificationCode1
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised PretrainingCode1
fastMONAI: A low-code deep learning library for medical image analysisCode1
Evolutionary Neural AutoML for Deep LearningCode1
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical ImagesCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State MatchingCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised 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
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationCode1
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
Densely Connected Convolutional NetworksCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
Are Natural Domain Foundation Models Useful for Medical Image Classification?Code1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Evaluating histopathology transfer learning with ChampKitCode1
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Astroformer: More Data Might not be all you need for ClassificationCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image ClassificationCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
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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