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 71–80 of 424 papers

Title	Date	Tasks	Status	Hype	Score
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning	Apr 18, 2025	Common Sense Reasoningimage-classification	CodeCode Available	1	5
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	5
Deep Multimodal Guidance for Medical Image Classification	Mar 10, 2022	Brain Tumor ClassificationClassification	CodeCode Available	1	5
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge	Oct 11, 2020	Medical Image Classification	CodeCode Available	1	5
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?	Apr 7, 2024	Data Augmentationimage-classification	CodeCode Available	1	5
Joint Learning of Localized Representations from Medical Images and Reports	Dec 6, 2021	Contrastive Learningimage-classification	CodeCode Available	1	5
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study	Aug 29, 2022	Classificationimage-classification	CodeCode Available	1	5
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models	Sep 29, 2024	3D Medical Imaging SegmentationMedical Image Classification	CodeCode Available	1	5
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images	Jul 1, 2024	Cross-Domain Few-Shotimage-classification	CodeCode Available	1	5
Rethinking Transfer Learning for Medical Image Classification	Jun 9, 2021	Classificationimage-classification	CodeCode Available	1	5

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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