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 411–420 of 424 papers

Title	Date	Tasks	Status	Hype
Capsule Networks against Medical Imaging Data Challenges	Jul 19, 2018	General Classificationimage-classification	CodeCode Available	0
Deep Residual Network based Automatic Image Grading for Diabetic Macular Edema	Jul 1, 2018	Fovea Detectionimage-classification	CodeCode Available	0
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network	Jun 14, 2018	Active LearningGeneral Classification	—Unverified	0
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels	May 30, 2018	General Classificationimage-classification	—Unverified	0
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification	Mar 3, 2018	ClassificationComputed Tomography (CT)	—Unverified	0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation	Feb 20, 2018	image-classificationImage Classification	CodeCode Available	0
Synthetic Medical Images from Dual Generative Adversarial Networks	Sep 6, 2017	image-classificationImage Classification	CodeCode Available	0
Modality-bridge Transfer Learning for Medical Image Classification	Aug 10, 2017	ClassificationGeneral Classification	—Unverified	0
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning	Jun 28, 2017	General Classificationimage-classification	—Unverified	0
Densely Connected Convolutional Networks	Aug 25, 2016	Breast Tumour ClassificationClassification	CodeCode Available	1

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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