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 231–240 of 424 papers

Title	Date	Tasks	Status
Information Gain Sampling for Active Learning in Medical Image Classification	Aug 1, 2022	Active LearningClassification	—Unverified
Variational Knowledge Distillation for Disease Classification in Chest X-Rays	Mar 19, 2021	ClassificationGeneral Classification	—Unverified
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks	Oct 24, 2024	image-classificationImage Classification	—Unverified
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction	Jun 24, 2020	Clinical Knowledgeimage-classification	—Unverified
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification	Oct 4, 2022	Active LearningClassification	—Unverified
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification	Jul 29, 2023	image-classificationImage Classification	—Unverified
Invariant Scattering Transform for Medical Imaging	Jul 7, 2023	Decision MakingDeep Learning	—Unverified
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification	Feb 26, 2024	Classificationimage-classification	—Unverified
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification	Mar 13, 2024	Classificationimage-classification	—Unverified
SynthVision - Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data	Feb 5, 2024	Experimental Designimage-classification	—Unverified

Show:10 25 50

← PrevPage 24 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