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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 424 papers

Title	Date	Tasks	Status	Hype	Score
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification	Jun 28, 2022	Contrastive LearningFederated Learning	CodeCode Available	1	5
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images	Aug 15, 2023	ClassificationDiagnostic	CodeCode Available	1	5
Balanced-MixUp for Highly Imbalanced Medical Image Classification	Sep 20, 2021	Classificationimage-classification	CodeCode Available	1	5
MONICA: Benchmarking on Long-tailed Medical Image Classification	Oct 2, 2024	BenchmarkingClassification	CodeCode Available	1	5
Evolutionary Neural AutoML for Deep Learning	Feb 18, 2019	AutoMLDeep Learning	CodeCode Available	1	5
Evaluating histopathology transfer learning with ChampKit	Jun 14, 2022	BenchmarkingCell Detection	CodeCode Available	1	5
Explainable Deep Learning Methods in Medical Image Classification: A Survey	May 10, 2022	Deep LearningExplainable artificial intelligence	CodeCode Available	1	5
PatchDropout: Economizing Vision Transformers Using Patch Dropout	Aug 10, 2022	image-classificationImage Classification	CodeCode Available	1	5
BiasPruner: Debiased Continual Learning for Medical Image Classification	Jul 11, 2024	ClassificationContinual Learning	CodeCode Available	1	5
Big Self-Supervised Models Advance Medical Image Classification	Jan 13, 2021	ClassificationContrastive Learning	CodeCode Available	1	5
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching	Mar 12, 2025	FairnessFederated Learning	CodeCode Available	1	5
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed	May 27, 2022	BenchmarkingBinary Classification	CodeCode Available	1	5
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning	Apr 18, 2025	Common Sense Reasoningimage-classification	CodeCode Available	1	5
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder	Aug 2, 2024	counterfactualimage-classification	CodeCode Available	1	5
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching	Jun 16, 2021	Federated Learningimage-classification	CodeCode Available	1	5
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity	Jun 27, 2024	Federated Learningimage-classification	CodeCode Available	1	5
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction	Sep 11, 2021	ClassificationDeep Learning	CodeCode Available	1	5
CASS: Cross Architectural Self-Supervision for Medical Image Analysis	Jun 8, 2022	ClassificationMedical Image Analysis	CodeCode Available	1	5
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification	Jul 7, 2021	Classificationimage-classification	CodeCode Available	1	5
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition	May 27, 2023	image-classificationImage Classification	CodeCode Available	1	5
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments	Jun 7, 2021	image-classificationImage Classification	CodeCode Available	1	5
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Oct 2, 2020	Contrastive LearningDescriptive	CodeCode Available	1	5
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling	May 14, 2024	image-classificationImage Classification	CodeCode Available	1	5
Joint Learning of Localized Representations from Medical Images and Reports	Dec 6, 2021	Contrastive Learningimage-classification	CodeCode Available	1	5
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning	Mar 26, 2021	Deep Reinforcement LearningGeneral Classification	CodeCode Available	1	5

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All datasets NCT-CRC-HE-100K IDRiD ImageNet PCOS Classification CheXphoto Galaxy10 DECals ISIC 2017 ISIC 2020 Challenge Dataset Malaria Dataset OASIS 3

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Efficientnet-b0	Accuracy (%)	95.59	—	Unverified
2	ResNeXt-50-32x4d	Accuracy (%)	95.46	—	Unverified
3	RegNetY-3.2GF	Accuracy (%)	95.42	—	Unverified
4	ResNet-50	Accuracy (%)	94.72	—	Unverified
5	DenseNet-169	Accuracy (%)	94.41	—	Unverified
6	Res2Net-50	Accuracy (%)	93.37	—	Unverified
7	ResNet-18	Accuracy (%)	92.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-152	Accuracy (% )	86.56	—	Unverified
2	Beta-Rank	Accuracy	81.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DaViT-S	GFLOPs	8.8	—	Unverified
2	DaViT-T	GFLOPs	4.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InceptionV3	1:1 Accuracy	90.2	—	Unverified
2	EfficientNet B7	1:1 Accuracy	88.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PTRN	Mean AUC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Astroformer	Top-1 Accuracy (%)	94.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Beta-Rank	Accuracy	72.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EfficientNet Ensemble	AUC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SNAPSHOT ENSEMBLE	F1 score	99.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3D CNN	AUC	87	—	Unverified