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 311–320 of 424 papers

Title	Date	Tasks	Status
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge	Oct 24, 2023	ClassificationDiagnostic	—Unverified
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture	Dec 1, 2024	Federated Learningimage-classification	—Unverified
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease	Jan 31, 2023	Alzheimer's Detectionimage-classification	—Unverified
Transfer learning for automatic brain tumor classification Using MRI Images.	Mar 19, 2021	Brain Tumor ClassificationBrain Tumor Segmentation	—Unverified
TransMed: Transformers Advance Multi-modal Medical Image Classification	Mar 10, 2021	ClassificationGeneral Classification	—Unverified
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes	May 16, 2019	ClassificationGeneral Classification	—Unverified
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification	Jun 25, 2024	image-classificationImage Classification	—Unverified
Uncertainties of Latent Representations in Computer Vision	Aug 26, 2024	image-classificationImage Classification	—Unverified
Understanding Calibration of Deep Neural Networks for Medical Image Classification	Sep 22, 2023	image-classificationImage Classification	—Unverified
Unlearning Spurious Correlations in Chest X-ray Classification	Aug 2, 2023	Classificationimage-classification	—Unverified

Show:10 25 50

← PrevPage 32 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