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 361–370 of 424 papers

Title	Date	Tasks	Status
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)	Jul 19, 2021	image-classificationImage Classification	CodeCode Available
Certification for Differentially Private Prediction in Gradient-Based Training	Jun 19, 2024	image-classificationImage Classification	CodeCode Available
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM	Jan 27, 2025	DescriptiveEvent Detection	CodeCode Available
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring	May 1, 2023	Federated Learningimage-classification	CodeCode Available
Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset	May 17, 2019	ClassificationDeep Learning	CodeCode Available
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?	Sep 3, 2024	image-classificationImage Classification	CodeCode Available
Explainability of Deep Neural Networks for Brain Tumor Detection	Oct 10, 2024	Data AugmentationDecision Making	CodeCode Available
Estimating the Conformal Prediction Threshold from Noisy Labels	Jan 22, 2025	Conformal Predictionimage-classification	CodeCode Available
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis	Dec 27, 2024	DiagnosticFederated Learning	CodeCode Available
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural Networks	Apr 9, 2020	Dimensionality Reductionimage-classification	CodeCode Available

Show:10 25 50

← PrevPage 37 of 43Next →

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