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 151–200 of 424 papers

TitleStatusHype
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive LearningCode0
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)Code0
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image ClassificationCode0
Emergent symbolic language based deep medical image classificationCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Certification for Differentially Private Prediction in Gradient-Based TrainingCode0
Chest X-Ray Images Classification with CNNCode0
Estimating the Conformal Prediction Threshold from Noisy LabelsCode0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image ClassificationCode0
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring PluginCode0
Making the Most of Text Semantics to Improve Biomedical Vision--Language ProcessingCode0
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image ClassificationCode0
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier CalibrationCode0
Leveraging AI for Automatic Classification of PCOS Using Ultrasound ImagingCode0
Medical Image Debiasing by Learning Adaptive Agreement from a Biased CouncilCode0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
On dataset transferability in medical image classificationCode0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
Joint Acne Image Grading and Counting via Label Distribution LearningCode0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Capsule Networks against Medical Imaging Data ChallengesCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
KPL: Training-Free Medical Knowledge Mining of Vision-Language ModelsCode0
DiffExplainer: Unveiling Black Box Models Via Counterfactual GenerationCode0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?Code0
Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PETCode0
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-raysCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
MIAFEx: An Attention-based Feature Extraction Method for Medical Image ClassificationCode0
Robustness Stress Testing in Medical Image ClassificationCode0
Boosting for Bounding the Worst-class Error—0
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification—0
Deep reinforced active learning for multi-class image classification—0
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification—0
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images—0
Deep learning pipeline for image classification on mobile phones—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations—0
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data—0
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning—0
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification—0
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities—0
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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