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 26–50 of 424 papers

Title	Date	Tasks	Status	Hype
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling	May 14, 2024	image-classificationImage Classification	CodeCode Available	1
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification	May 10, 2024	Decoderimage-classification	CodeCode Available	1
Rethinking model prototyping through the MedMNIST+ dataset collection	Apr 24, 2024	Image ClassificationMedical Image Classification	CodeCode Available	1
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?	Apr 7, 2024	Data Augmentationimage-classification	CodeCode Available	1
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification	Mar 12, 2024	image-classificationImage Classification	CodeCode Available	1
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification	Feb 1, 2024	AllClassification	CodeCode Available	1
Prompt-driven Latent Domain Generalization for Medical Image Classification	Jan 5, 2024	Domain Generalizationimage-classification	CodeCode Available	1
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks	Dec 12, 2023	image-classificationImage Classification	CodeCode Available	1
PHG-Net: Persistent Homology Guided Medical Image Classification	Nov 28, 2023	Classificationimage-classification	CodeCode Available	1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification	Nov 27, 2023	Image SegmentationLesion Classification	CodeCode Available	1
Are Natural Domain Foundation Models Useful for Medical Image Classification?	Oct 30, 2023	image-classificationImage Classification	CodeCode Available	1
Interpretable Medical Image Classification using Prototype Learning and Privileged Information	Oct 24, 2023	image-classificationImage Classification	CodeCode Available	1
fastMONAI: A low-code deep learning library for medical image analysis	Sep 26, 2023	Medical Image AnalysisMedical Image Classification	CodeCode Available	1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?	Aug 17, 2023	image-classificationImage Classification	CodeCode Available	1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images	Aug 15, 2023	ClassificationDiagnostic	CodeCode Available	1
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image Classification	Aug 10, 2023	image-classificationImage Classification	CodeCode Available	1
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning	Aug 10, 2023	image-classificationImage Classification	CodeCode Available	1
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining	Aug 8, 2023	Classificationimage-classification	CodeCode Available	1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification	Aug 8, 2023	ClassificationDiagnostic	CodeCode Available	1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification	Jul 27, 2023	Federated Learningimage-classification	CodeCode Available	1
Understanding Silent Failures in Medical Image Classification	Jul 27, 2023	Classificationimage-classification	CodeCode Available	1
Interpreting and Correcting Medical Image Classification with PIP-Net	Jul 19, 2023	ClassificationDecision Making	CodeCode Available	1
Systematic comparison of semi-supervised and self-supervised learning for medical image classification	Jul 18, 2023	GPUimage-classification	CodeCode Available	1
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization	Jul 17, 2023	image-classificationImage Classification	CodeCode Available	1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition	May 27, 2023	image-classificationImage Classification	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