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
MedMamba: Vision Mamba for Medical Image ClassificationCode4
RegNet: Self-Regulated Network for Image ClassificationCode4
Deep Residual Learning for Image RecognitionCode4
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksCode3
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
MedViT: A Robust Vision Transformer for Generalized Medical Image ClassificationCode2
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image ClassificationCode2
DaViT: Dual Attention Vision TransformersCode2
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image ClassificationCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State MatchingCode1
XFMamba: Cross-Fusion Mamba for Multi-View Medical Image ClassificationCode1
Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAGCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
MONICA: Benchmarking on Long-tailed Medical Image ClassificationCode1
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation ModelsCode1
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
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical ImagesCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingCode1
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
Rethinking model prototyping through the MedMNIST+ dataset collectionCode1
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?Code1
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationCode1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive NetworksCode1
PHG-Net: Persistent Homology Guided Medical Image ClassificationCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Are Natural Domain Foundation Models Useful for Medical Image Classification?Code1
Interpretable Medical Image Classification using Prototype Learning and Privileged InformationCode1
fastMONAI: A low-code deep learning library for medical image analysisCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image ClassificationCode1
Robust Asymmetric Loss for Multi-Label Long-Tailed LearningCode1
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised PretrainingCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
Understanding Silent Failures in Medical Image ClassificationCode1
Interpreting and Correcting Medical Image Classification with PIP-NetCode1
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationCode1
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationCode1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
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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