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 181–190 of 424 papers

Title	Date	Tasks	Status
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data	Dec 4, 2024	Computational Efficiencyimage-classification	—Unverified
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?	Jan 15, 2024	Contrastive Learningimage-classification	—Unverified
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification	May 31, 2024	Data AugmentationDiversity	—Unverified
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise	Jul 13, 2025	Federated Learningimage-classification	—Unverified
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study	Dec 28, 2024	Brain Tumor ClassificationDiabetic Retinopathy Detection	—Unverified
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset	Oct 27, 2023	Diagnosticimage-classification	—Unverified
Application of the Neural Network Dependability Kit in Real-World Environments	Dec 14, 2020	ClassificationGeneral Classification	—Unverified
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models	Aug 8, 2023	Classificationimage-classification	—Unverified
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach	Jun 16, 2025	Computational Efficiencyimage-classification	—Unverified
A Systematic Review of Generalization Research in Medical Image Classification	Mar 18, 2024	ArticlesClassification	—Unverified

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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