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 101–110 of 424 papers

Title	Date	Tasks	Status
Recent Advances in Medical Image Classification	Jun 4, 2025	ClassificationExplainable artificial intelligence	—Unverified
Deep Modeling and Optimization of Medical Image Classification	May 29, 2025	AvgClassification	CodeCode Available
Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models	May 26, 2025	Classificationimage-classification	CodeCode Available
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior	May 23, 2025	image-classificationImage Classification	—Unverified
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion	May 23, 2025	Decision Makingimage-classification	—Unverified
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification	May 19, 2025	Fairnessimage-classification	—Unverified
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes	May 9, 2025	Classificationimage-classification	CodeCode Available
Adapting a Segmentation Foundation Model for Medical Image Classification	May 9, 2025	Classificationimage-classification	—Unverified
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models	May 8, 2025	image-classificationImage Classification	CodeCode Available
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification	May 3, 2025	image-classificationImage Classification	—Unverified

Show:10 25 50

← PrevPage 11 of 43Next →

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