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 131–140 of 424 papers

Title	Date	Tasks	Status	Hype
A Systematic Review of Generalization Research in Medical Image Classification	Mar 18, 2024	ArticlesClassification	—Unverified	0
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification	Mar 17, 2024	image-classificationImage Classification	CodeCode Available	0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization	Mar 14, 2024	ClassificationDisentanglement	CodeCode Available	0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification	Mar 13, 2024	Classificationimage-classification	—Unverified	0
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification	Mar 12, 2024	image-classificationImage Classification	CodeCode Available	1
In-context learning enables multimodal large language models to classify cancer pathology images	Mar 12, 2024	image-classificationImage Classification	—Unverified	0
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification	Mar 11, 2024	image-classificationImage Classification	—Unverified	0
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification	Mar 10, 2024	Data AugmentationDiversity	CodeCode Available	0
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification	Mar 10, 2024	ClassificationFairness	CodeCode Available	0
MedMamba: Vision Mamba for Medical Image Classification	Mar 6, 2024	Classificationimage-classification	CodeCode Available	4

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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