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 341–350 of 424 papers

Title	Date	Tasks	Status	Hype
Meta-Learning with Fewer Tasks through Task Interpolation	Jun 4, 2021	image-classificationImage Classification	CodeCode Available	1
A systematic review of transfer learning based approaches for diabetic retinopathy detection	May 28, 2021	Diabetic Retinopathy Detectionimage-classification	—Unverified	0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment	May 14, 2021	ClassificationDomain Generalization	—Unverified	0
SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data	Apr 21, 2021	Medical DiagnosisMedical Image Analysis	CodeCode Available	0
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning	Mar 26, 2021	Deep Reinforcement LearningGeneral Classification	CodeCode Available	1
Transfer learning for automatic brain tumor classification Using MRI Images.	Mar 19, 2021	Brain Tumor ClassificationBrain Tumor Segmentation	—Unverified	0
Variational Knowledge Distillation for Disease Classification in Chest X-Rays	Mar 19, 2021	ClassificationGeneral Classification	—Unverified	0
TransMed: Transformers Advance Multi-modal Medical Image Classification	Mar 10, 2021	ClassificationGeneral Classification	—Unverified	0
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation	Feb 28, 2021	BenchmarkingGeneral Classification	—Unverified	0
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification	Feb 25, 2021	Active LearningClassification	—Unverified	0

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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