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 26–50 of 424 papers

Title	Date	Tasks	Status	Hype	Score
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition	May 27, 2023	image-classificationImage Classification	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
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Oct 2, 2020	Contrastive LearningDescriptive	CodeCode Available	1	5
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks	Jan 27, 2022	ClassificationEnsemble Learning	CodeCode Available	1	5
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification	Jun 28, 2022	Contrastive LearningFederated Learning	CodeCode Available	1	5
Evolutionary Neural AutoML for Deep Learning	Feb 18, 2019	AutoMLDeep Learning	CodeCode Available	1	5
Systematic comparison of semi-supervised and self-supervised learning for medical image classification	Jul 18, 2023	GPUimage-classification	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
Explainable Deep Learning Methods in Medical Image Classification: A Survey	May 10, 2022	Deep LearningExplainable artificial intelligence	CodeCode Available	1	5
Balanced-MixUp for Highly Imbalanced Medical Image Classification	Sep 20, 2021	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
Evaluating histopathology transfer learning with ChampKit	Jun 14, 2022	BenchmarkingCell Detection	CodeCode Available	1	5
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images	Jul 1, 2024	Cross-Domain Few-Shotimage-classification	CodeCode Available	1	5
Are Natural Domain Foundation Models Useful for Medical Image Classification?	Oct 30, 2023	image-classificationImage Classification	CodeCode Available	1	5
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification	Aug 8, 2023	ClassificationDiagnostic	CodeCode Available	1	5
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification	Jul 7, 2021	Classificationimage-classification	CodeCode Available	1	5
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis	May 14, 2024	Fairnessimage-classification	CodeCode Available	1	5
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification	Feb 1, 2024	AllClassification	CodeCode Available	1	5
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification	Jul 27, 2023	Federated Learningimage-classification	CodeCode Available	1	5
Astroformer: More Data Might not be all you need for Classification	Apr 3, 2023	AllAstronomy	CodeCode Available	1	5
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?	Apr 26, 2022	image-classificationImage Classification	CodeCode Available	1	5
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentation	Aug 29, 2024	Image SegmentationLesion Segmentation	CodeCode Available	1	5
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image Classification	Aug 5, 2024	image-classificationImage Classification	CodeCode Available	1	5
Densely Connected Convolutional Networks	Aug 25, 2016	Breast Tumour ClassificationClassification	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