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 201–210 of 424 papers

Title	Date	Tasks	Status
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification	Apr 13, 2024	ClassificationFew-Shot Learning	—Unverified
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models	Apr 11, 2024	Diagnosticimage-classification	—Unverified
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification	Apr 11, 2024	Contrastive LearningDeep Learning	CodeCode Available
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging	Apr 3, 2024	AttributeDimensionality Reduction	—Unverified
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification	Mar 26, 2024	Few-Shot Learningimage-classification	—Unverified
Improved EATFormer: A Vision Transformer for Medical Image Classification	Mar 19, 2024	Classificationimage-classification	—Unverified
A Systematic Review of Generalization Research in Medical Image Classification	Mar 18, 2024	ArticlesClassification	—Unverified
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification	Mar 17, 2024	image-classificationImage Classification	CodeCode Available
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization	Mar 14, 2024	ClassificationDisentanglement	CodeCode Available
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification	Mar 13, 2024	Classificationimage-classification	—Unverified

Show:10 25 50

← PrevPage 21 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