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 321–330 of 424 papers

Title	Date	Tasks	Status	Hype
ResNet strikes back: An improved training procedure in timm	Oct 1, 2021	ClassificationData Augmentation	CodeCode Available	1
Compositional Training for End-to-End Deep AUC Maximization	Sep 29, 2021	image-classificationImage Classification	—Unverified	0
Does deep learning model calibration improve performance in class-imbalanced medical image classification?	Sep 29, 2021	image-classificationImage Classification	—Unverified	0
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System	Sep 25, 2021	Decision Makingimage-classification	—Unverified	0
Balanced-MixUp for Highly Imbalanced Medical Image Classification	Sep 20, 2021	Classificationimage-classification	CodeCode Available	1
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance	Sep 19, 2021	Federated Learningimage-classification	—Unverified	0
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction	Sep 11, 2021	ClassificationDeep Learning	CodeCode Available	1
Privacy-preserving Machine Learning for Medical Image Classification	Aug 29, 2021	BIG-bench Machine LearningClassification	—Unverified	0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?	Aug 23, 2021	Classificationimage-classification	—Unverified	0
Semi-supervised learning for medical image classification using imbalanced training data	Aug 20, 2021	image-classificationImage Classification	—Unverified	0

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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