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 276–300 of 424 papers

Title	Date	Tasks	Status	Hype
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification	Jul 14, 2022	Classificationimage-classification	—Unverified	0
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images	Jul 12, 2022	image-classificationImage Classification	CodeCode Available	1
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification	Jul 11, 2022	image-classificationImage Classification	—Unverified	0
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift	Jul 2, 2022	Classificationimage-classification	CodeCode Available	1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification	Jun 28, 2022	Contrastive LearningFederated Learning	CodeCode Available	1
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification	Jun 27, 2022	DisentanglementDomain Adaptation	—Unverified	0
A novel adversarial learning strategy for medical image classification	Jun 23, 2022	ClassificationGenerative Adversarial Network	—Unverified	0
Deep reinforced active learning for multi-class image classification	Jun 20, 2022	Active LearningClassification	—Unverified	0
The Importance of Background Information for Out of Distribution Generalization	Jun 17, 2022	Domain Generalizationimage-classification	—Unverified	0
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network	Jun 16, 2022	Inductive LearningMedical Image Classification	CodeCode Available	0
Evaluating histopathology transfer learning with ChampKit	Jun 14, 2022	BenchmarkingCell Detection	CodeCode Available	1
CASS: Cross Architectural Self-Supervision for Medical Image Analysis	Jun 8, 2022	ClassificationMedical Image Analysis	CodeCode Available	1
Deep learning pipeline for image classification on mobile phones	May 31, 2022	ClassificationDeep Learning	—Unverified	0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification	May 31, 2022	ClassificationDomain Adaptation	—Unverified	0
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed	May 27, 2022	BenchmarkingBinary Classification	CodeCode Available	1
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training	May 10, 2022	image-classificationImage Classification	—Unverified	0
Explainable Deep Learning Methods in Medical Image Classification: A Survey	May 10, 2022	Deep LearningExplainable artificial intelligence	CodeCode Available	1
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification	May 8, 2022	Diagnosticimage-classification	CodeCode Available	0
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?	Apr 26, 2022	image-classificationImage Classification	CodeCode Available	1
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing	Apr 21, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	0
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant	Apr 7, 2022	Data AugmentationDiversity	—Unverified	0
DaViT: Dual Attention Vision Transformers	Apr 7, 2022	Computational EfficiencyImage Classification	CodeCode Available	2
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification	Apr 6, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification	Apr 4, 2022	AttributeClassification	—Unverified	0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications	Apr 2, 2022	image-classificationImage Classification	—Unverified	0

Show:10 25 50

← PrevPage 12 of 17Next →

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