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 51–75 of 714 papers

TitleStatusHype
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor DetectionCode1
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
BMAD: Benchmarks for Medical Anomaly DetectionCode1
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive LearningCode1
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
Xplainer: From X-Ray Observations to Explainable Zero-Shot DiagnosisCode1
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
Variational Information Pursuit for Interpretable PredictionsCode1
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate DiagnosisCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Physical Adversarial Attack meets Computer Vision: A Decade SurveyCode1
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
Transfer Learning with Deep Tabular ModelsCode1
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT ScansCode1
DDXPlus: A New Dataset For Automatic Medical DiagnosisCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry LogicsCode1
Cross-modal Memory Networks for Radiology Report GenerationCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty CalibrationCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
RuMedBench: A Russian Medical Language Understanding BenchmarkCode1
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression NetworkCode1
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Benchmark Results

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