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 351400 of 424 papers

TitleStatusHype
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels0
Multi-Instance Learning by Utilizing Structural Relationship among Instances0
DenseNet for Breast Tumor Classification in Mammographic ImagesCode0
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations0
Big Self-Supervised Models Advance Medical Image ClassificationCode1
RegNet: Self-Regulated Network for Image ClassificationCode4
Application of the Neural Network Dependability Kit in Real-World Environments0
Aggregative Self-Supervised Feature Learning from a Limited Sample0
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification0
Distant Domain Transfer Learning for Medical Imaging0
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image ClassificationCode1
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges0
Cross-Modal Information Maximization for Medical Imaging: CMIM0
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image TranslationCode1
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification ChallengeCode1
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization0
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
Emergent symbolic language based deep medical image classificationCode0
An Aggregate Method for Thorax Diseases ClassificationCode0
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification0
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection0
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning0
Semi-supervised Medical Image Classification with Global Latent MixingCode1
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
Tensor Networks for Medical Image ClassificationCode1
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural NetworksCode0
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks0
Assessing Robustness to Noise: Low-Cost Head CT Triage0
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification0
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach0
A Fully Convolutional Normalization Approach of Head and Neck Cancer Outcome Prediction0
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning0
Visualization approach to assess the robustness of neural networks for medical image classification0
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation0
Joint Acne Image Grading and Counting via Label Distribution LearningCode0
Multi-Instance Multi-Scale CNN for Medical Image Classification0
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification0
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksCode3
Transfer Learning based Detection of Diabetic Retinopathy from Small DatasetCode0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes0
Res2Net: A New Multi-scale Backbone ArchitectureCode1
On evaluating CNN representations for low resource medical image classification0
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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