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 331–340 of 424 papers

Title	Date	Tasks	Status	Hype
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks	Aug 11, 2021	image-classificationImage Classification	—Unverified	0
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound	Aug 11, 2021	Contrastive LearningDiagnostic	—Unverified	0
Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network	Jul 24, 2021	Generative Adversarial Networkimage-classification	—Unverified	0
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)	Jul 19, 2021	image-classificationImage Classification	CodeCode Available	0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification	Jul 13, 2021	image-classificationImage Classification	CodeCode Available	0
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification	Jul 7, 2021	Classificationimage-classification	CodeCode Available	1
Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification	Jun 23, 2021	Classificationimage-classification	CodeCode Available	0
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching	Jun 16, 2021	Federated Learningimage-classification	CodeCode Available	1
Rethinking Transfer Learning for Medical Image Classification	Jun 9, 2021	Classificationimage-classification	CodeCode Available	1
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments	Jun 7, 2021	image-classificationImage Classification	CodeCode Available	1

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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