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

Showing 151175 of 424 papers

TitleStatusHype
Leveraging AI for Automatic Classification of PCOS Using Ultrasound ImagingCode0
Certification for Differentially Private Prediction in Gradient-Based TrainingCode0
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image ClassificationCode0
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier CalibrationCode0
Making the Most of Text Semantics to Improve Biomedical Vision--Language ProcessingCode0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image ClassificationCode0
Chest X-Ray Images Classification with CNNCode0
Estimating the Conformal Prediction Threshold from Noisy LabelsCode0
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring PluginCode0
KPL: Training-Free Medical Knowledge Mining of Vision-Language ModelsCode0
Joint Acne Image Grading and Counting via Label Distribution LearningCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?Code0
Capsule Networks against Medical Imaging Data ChallengesCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
DiffExplainer: Unveiling Black Box Models Via Counterfactual GenerationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Efficientnet-b0Accuracy (%)95.59Unverified
2ResNeXt-50-32x4dAccuracy (%)95.46Unverified
3RegNetY-3.2GFAccuracy (%)95.42Unverified
4ResNet-50Accuracy (%)94.72Unverified
5DenseNet-169Accuracy (%)94.41Unverified
6Res2Net-50Accuracy (%)93.37Unverified
7ResNet-18Accuracy (%)92.66Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152Accuracy (% )86.56Unverified
2Beta-RankAccuracy81.88Unverified
#ModelMetricClaimedVerifiedStatus
1DaViT-SGFLOPs8.8Unverified
2DaViT-TGFLOPs4.5Unverified
#ModelMetricClaimedVerifiedStatus
1InceptionV31:1 Accuracy90.2Unverified
2EfficientNet B71:1 Accuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1PTRNMean AUC0.85Unverified
#ModelMetricClaimedVerifiedStatus
1AstroformerTop-1 Accuracy (%)94.87Unverified
#ModelMetricClaimedVerifiedStatus
1Beta-RankAccuracy72.44Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientNet EnsembleAUC0.95Unverified
#ModelMetricClaimedVerifiedStatus
1SNAPSHOT ENSEMBLEF1 score99.37Unverified
#ModelMetricClaimedVerifiedStatus
13D CNNAUC87Unverified