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 251–300 of 424 papers

TitleStatusHype
Vision Transformers in Medical Imaging: A Review—0
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-raysCode0
MONAI: An open-source framework for deep learning in healthcareCode5
Imbalanced Classification in Medical Imaging via Regrouping—0
Standardized Medical Image Classification across Medical DisciplinesCode1
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive LearningCode1
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos ClassificationCode0
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification—0
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification—0
Data Augmentation using Feature Generation for Volumetric Medical Images—0
CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for Very Small Resolution Medical Image Classification—0
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image ClassificationCode2
Moving from 2D to 3D: volumetric medical image classification for rectal cancer stagingCode0
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification—0
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification—0
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image ClassificationCode0
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms—0
PatchDropout: Economizing Vision Transformers Using Patch DropoutCode1
RadTex: Learning Efficient Radiograph Representations from Text Reports—0
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image ClassificationCode1
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial IntelligenceCode0
Texture features in medical image analysis: a survey—0
Information Gain Sampling for Active Learning in Medical Image Classification—0
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification—0
Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesCode1
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification—0
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification—0
A novel adversarial learning strategy for medical image classification—0
Deep reinforced active learning for multi-class image classification—0
The Importance of Background Information for Out of Distribution Generalization—0
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural NetworkCode0
Evaluating histopathology transfer learning with ChampKitCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
Deep learning pipeline for image classification on mobile phones—0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification—0
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Preservation of High Frequency Content for Deep Learning-Based Medical Image ClassificationCode0
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
Making the Most of Text Semantics to Improve Biomedical Vision--Language ProcessingCode0
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant—0
DaViT: Dual Attention Vision TransformersCode2
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification—0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications—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