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 376–400 of 424 papers

Title	Date	Tasks	Status
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification	Nov 24, 2023	Federated Learningimage-classification	CodeCode Available
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection	Jun 25, 2024	image-classificationImage Classification	CodeCode Available
Emergent symbolic language based deep medical image classification	Aug 22, 2020	ClassificationDecision Making	CodeCode Available
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin	Nov 15, 2024	Federated Learningimage-classification	CodeCode Available
Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM and PGGANs with Random and Greedy K Sampling	Dec 17, 2024	Denoisingimage-classification	CodeCode Available
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging	Sep 13, 2022	image-classificationImage Classification	CodeCode Available
Robustness Stress Testing in Medical Image Classification	Aug 14, 2023	Classificationimage-classification	CodeCode Available
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification	Mar 10, 2024	ClassificationFairness	CodeCode Available
An Aggregate Method for Thorax Diseases Classification	Aug 7, 2020	ClassificationGeneral Classification	CodeCode Available
ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification	Jan 28, 2025	Data AugmentationDiagnostic	CodeCode Available
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise	Jul 8, 2024	Active LearningClassification	CodeCode Available
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy	Oct 21, 2024	Domain Adaptationimage-classification	CodeCode Available
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification	Mar 17, 2024	image-classificationImage Classification	CodeCode Available
The Role of Subgroup Separability in Group-Fair Medical Image Classification	Jul 6, 2023	image-classificationImage Classification	CodeCode Available
Scale Federated Learning for Label Set Mismatch in Medical Image Classification	Apr 14, 2023	Federated Learningimage-classification	CodeCode Available
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models	May 8, 2025	image-classificationImage Classification	CodeCode Available
Non-parametric regularization for class imbalance federated medical image classification	Jul 17, 2024	Federated Learningimage-classification	CodeCode Available
On dataset transferability in medical image classification	Dec 28, 2024	BenchmarkingClassification	CodeCode Available
Capsule Networks against Medical Imaging Data Challenges	Jul 19, 2018	General Classificationimage-classification	CodeCode Available
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations	Jan 4, 2023	Fairnessimage-classification	CodeCode Available
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?	Feb 24, 2025	ClassificationDiversity	CodeCode Available
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation	Jun 21, 2024	counterfactualimage-classification	CodeCode Available
Self-supervised learning for skin cancer diagnosis with limited training data	Jan 1, 2024	image-classificationImage Classification	CodeCode Available
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class	Apr 11, 2023	image-classificationImage Classification	CodeCode Available
Osteoporosis screening: Leveraging EfficientNet with complete and cropped facial panoramic radiography imaging	Oct 18, 2024	Medical Image Classification	CodeCode Available

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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