SOTAVerified

Medical Diagnosis

Medical Diagnosis is the process of identifying the disease a patient is affected by, based on the assessment of specific risk factors, signs, symptoms and results of exams.

Source: A probabilistic network for the diagnosis of acute cardiopulmonary diseases

Papers

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Showing 76–100 of 714 papers

TitleStatusHype
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT ScansCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
BMAD: Benchmarks for Medical Anomaly DetectionCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal ClassificationCode1
Multi-task Heterogeneous Graph Learning on Electronic Health RecordsCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Cross-modal Memory Networks for Radiology Report GenerationCode1
Patch2Self: Denoising Diffusion MRI with Self-Supervised LearningCode1
DDXPlus: A New Dataset For Automatic Medical DiagnosisCode1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
Deep learning for photoacoustic imaging: a surveyCode1
Differences between human and machine perception in medical diagnosisCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty CalibrationCode1
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty AnalysisCode1
RareBench: Can LLMs Serve as Rare Diseases Specialists?Code1
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DenseNet-161Average Precision0.74—Unverified