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 76–100 of 424 papers

Title	Date	Tasks	Status	Hype
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images	Dec 20, 2021	Federated Learningimage-classification	CodeCode Available	1
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder	Aug 2, 2024	counterfactualimage-classification	CodeCode Available	1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?	Aug 17, 2023	image-classificationImage Classification	CodeCode Available	1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification	Mar 19, 2023	ClassificationDiabetic Retinopathy Grading	CodeCode Available	1
Evolutionary Neural AutoML for Deep Learning	Feb 18, 2019	AutoMLDeep Learning	CodeCode Available	1
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning	Apr 18, 2025	Common Sense Reasoningimage-classification	CodeCode Available	1
Are Natural Domain Foundation Models Useful for Medical Image Classification?	Oct 30, 2023	image-classificationImage Classification	CodeCode Available	1
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study	Aug 29, 2022	Classificationimage-classification	CodeCode Available	1
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models	Sep 29, 2024	3D Medical Imaging SegmentationMedical Image Classification	CodeCode Available	1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification	Jul 27, 2023	Federated Learningimage-classification	CodeCode Available	1
Interpreting and Correcting Medical Image Classification with PIP-Net	Jul 19, 2023	ClassificationDecision Making	CodeCode Available	1
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis	May 14, 2024	Fairnessimage-classification	CodeCode Available	1
Meta-Learning with Fewer Tasks through Task Interpolation	Jun 4, 2021	image-classificationImage Classification	CodeCode Available	1
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification	May 10, 2024	Decoderimage-classification	CodeCode Available	1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification	Feb 1, 2024	AllClassification	CodeCode Available	1
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning	Oct 17, 2022	Contrastive Learningimage-classification	CodeCode Available	1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification	Nov 27, 2023	Image SegmentationLesion Classification	CodeCode Available	1
Astroformer: More Data Might not be all you need for Classification	Apr 3, 2023	AllAstronomy	CodeCode Available	1
PatchDropout: Economizing Vision Transformers Using Patch Dropout	Aug 10, 2022	image-classificationImage Classification	CodeCode Available	1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?	Apr 26, 2022	image-classificationImage Classification	CodeCode Available	1
Deep Multimodal Guidance for Medical Image Classification	Mar 10, 2022	Brain Tumor ClassificationClassification	CodeCode Available	1
Boosting for Bounding the Worst-class Error	Oct 20, 2023	image-classificationImage Classification	—Unverified	0
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification	Mar 26, 2024	Few-Shot Learningimage-classification	—Unverified	0
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images	Sep 24, 2024	image-classificationImage Classification	—Unverified	0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection	Jun 26, 2020	General Classificationimage-classification	—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