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 326–350 of 424 papers

Title	Date	Tasks	Status
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification	Jun 30, 2023	Federated Learningimage-classification	—Unverified
Vision Transformers in Medical Imaging: A Review	Nov 18, 2022	DecoderDiversity	—Unverified
Visualization approach to assess the robustness of neural networks for medical image classification	Nov 19, 2019	General Classificationimage-classification	—Unverified
Visual Prompt Engineering for Medical Vision Language Models in Radiology	Aug 28, 2024	Classificationimage-classification	—Unverified
Weakly-supervised Generative Adversarial Networks for medical image classification	Nov 29, 2021	ClassificationContrastive Learning	—Unverified
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study	Mar 24, 2022	COVID-19 DiagnosisFederated Learning	—Unverified
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification	Nov 5, 2024	Contrastive Learningimage-classification	—Unverified
Joint Acne Image Grading and Counting via Label Distribution Learning	Oct 1, 2019	Acne Severity GradingMedical Image Classification	CodeCode Available
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification	Feb 19, 2024	ClassificationContinual Learning	CodeCode Available
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification	Oct 12, 2022	Image ClassificationMedical Image Classification	CodeCode Available
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks	Jan 21, 2023	counterfactualCounterfactual Explanation	CodeCode Available
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models	Jan 20, 2025	Classificationimage-classification	CodeCode Available
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space	Jul 31, 2023	image-classificationImage Classification	CodeCode Available
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification	Apr 11, 2024	Contrastive LearningDeep Learning	CodeCode Available
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks	Jul 29, 2024	Federated Learningimage-classification	CodeCode Available
Improving the repeatability of deep learning models with Monte Carlo dropout	Feb 15, 2022	AttributeBinary Classification	CodeCode Available
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images	Aug 22, 2018	Computational EfficiencyGeneral Classification	CodeCode Available
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining	Sep 29, 2023	Diagnosticimage-classification	CodeCode Available
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation	Feb 20, 2018	image-classificationImage Classification	CodeCode Available
Leveraging AI for Automatic Classification of PCOS Using Ultrasound Imaging	Dec 30, 2024	Binary ClassificationClassification	CodeCode Available
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification	Dec 24, 2022	Classificationimage-classification	CodeCode Available
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes	May 9, 2025	Classificationimage-classification	CodeCode Available
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration	Feb 5, 2025	Classifier calibrationDiagnostic	CodeCode Available
Homogeneous Learning: Self-Attention Decentralized Deep Learning	Oct 11, 2021	Deep LearningFederated Learning	CodeCode Available
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing	Apr 21, 2022	Contrastive LearningLanguage Modeling	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