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 226–250 of 424 papers

Title	Date	Tasks	Status	Hype
Universal Semi-Supervised Learning for Medical Image Classification	Apr 8, 2023	ClassificationDomain Adaptation	CodeCode Available	0
Astroformer: More Data Might not be all you need for Classification	Apr 3, 2023	AllAstronomy	CodeCode Available	1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification	Mar 19, 2023	ClassificationDiabetic Retinopathy Grading	CodeCode Available	1
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation	Mar 17, 2023	ClassificationDecoder	CodeCode Available	1
Pretrained ViTs Yield Versatile Representations For Medical Images	Mar 13, 2023	image-classificationImage Classification	CodeCode Available	1
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers	Mar 13, 2023	Binary ClassificationDecoder	—Unverified	0
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels	Mar 10, 2023	Federated Learningimage-classification	—Unverified	0
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder	Mar 10, 2023	image-classificationImage Classification	—Unverified	0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning	Mar 3, 2023	Contrastive LearningDecision Making	—Unverified	0
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification	Mar 3, 2023	image-classificationImage Classification	—Unverified	0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification	Mar 2, 2023	ClusteringDomain Adaptation	—Unverified	0
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification	Feb 19, 2023	image-classificationImage Classification	CodeCode Available	2
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000	Feb 13, 2023	image-classificationImage Classification	—Unverified	0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification	Feb 5, 2023	ClassificationCOVID-19 Diagnosis	CodeCode Available	0
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging	Feb 3, 2023	Computed Tomography (CT)Diagnostic	CodeCode Available	0
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease	Jan 31, 2023	Alzheimer's Detectionimage-classification	—Unverified	0
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks	Jan 21, 2023	counterfactualCounterfactual Explanation	CodeCode Available	0
Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection	Jan 5, 2023	image-classificationImage Classification	—Unverified	0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations	Jan 4, 2023	Fairnessimage-classification	CodeCode Available	0
A New Perspective to Boost Vision Transformer for Medical Image Classification	Jan 3, 2023	Diabetic Retinopathy Gradingimage-classification	—Unverified	0
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training	Jan 1, 2023	image-classificationImage Classification	CodeCode Available	0
Chest X-Ray Images Classification with CNN	Dec 31, 2022	ClassificationDiagnostic	CodeCode Available	0
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification	Dec 24, 2022	Classificationimage-classification	CodeCode Available	0
Adversarial Attacks and Defences for Skin Cancer Classification	Dec 13, 2022	Adversarial AttackAdversarial Defense	—Unverified	0
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification	Dec 10, 2022	Decision MakingExplainable artificial intelligence	—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