SOTAVerified

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

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Showing 201–225 of 424 papers

TitleStatusHype
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition—0
Systematic comparison of semi-supervised and self-supervised learning for medical image classificationCode1
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationCode1
The Whole Pathological Slide Classification via Weakly Supervised Learning—0
Learning from Exemplary Explanations—0
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification—0
Invariant Scattering Transform for Medical Imaging—0
The Role of Subgroup Separability in Group-Fair Medical Image ClassificationCode0
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis—0
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data—0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
Label-noise-tolerant medical image classification via self-attention and self-supervised learning—0
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation—0
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacyCode0
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification—0
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Forward-Forward Contrastive Learning—0
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier AnchoringCode0
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image AnalysisCode0
Scale Federated Learning for Label Set Mismatch in Medical Image ClassificationCode0
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per classCode0
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All datasetsNCT-CRC-HE-100KIDRiDImageNetPCOS ClassificationCheXphotoGalaxy10 DECalsISIC 2017ISIC 2020 Challenge DatasetMalaria DatasetOASIS 3

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Efficientnet-b0Accuracy (%)95.59—Unverified
2ResNeXt-50-32x4dAccuracy (%)95.46—Unverified
3RegNetY-3.2GFAccuracy (%)95.42—Unverified
4ResNet-50Accuracy (%)94.72—Unverified
5DenseNet-169Accuracy (%)94.41—Unverified
6Res2Net-50Accuracy (%)93.37—Unverified
7ResNet-18Accuracy (%)92.66—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152Accuracy (% )86.56—Unverified
2Beta-RankAccuracy81.88—Unverified
#ModelMetricClaimedVerifiedStatus
1DaViT-SGFLOPs8.8—Unverified
2DaViT-TGFLOPs4.5—Unverified
#ModelMetricClaimedVerifiedStatus
1InceptionV31:1 Accuracy90.2—Unverified
2EfficientNet B71:1 Accuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PTRNMean AUC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1AstroformerTop-1 Accuracy (%)94.87—Unverified
#ModelMetricClaimedVerifiedStatus
1Beta-RankAccuracy72.44—Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientNet EnsembleAUC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1SNAPSHOT ENSEMBLEF1 score99.37—Unverified
#ModelMetricClaimedVerifiedStatus
13D CNNAUC87—Unverified