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 351–400 of 714 papers

TitleStatusHype
Identifying the Context Shift between Test Benchmarks and Production Data—0
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
Transfer Learning with Deep Tabular ModelsCode1
Fairness-aware Model-agnostic Positive and Unlabeled Learning—0
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT ScansCode1
An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI ImagesCode0
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net—0
Federated learning: Applications, challenges and future directions—0
DDXPlus: A New Dataset For Automatic Medical DiagnosisCode1
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization—0
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation—0
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry LogicsCode1
Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph—0
Cross-modal Memory Networks for Radiology Report GenerationCode1
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
Neurochaos Feature Transformation and Classification for Imbalanced LearningCode0
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology—0
An Adaptive Black-box Backdoor Detection Method for Deep Neural NetworksCode0
Pneumonia Detection in Chest X-Rays using Neural Networks—0
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection—0
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies—0
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain—0
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet modelCode0
A predictive analytics approach for stroke prediction using machine learning and neural networksCode0
Automation of reversible steganographic coding with nonlinear discrete optimisation—0
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty CalibrationCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest RadiographsCode0
Jury Learning: Integrating Dissenting Voices into Machine Learning Models—0
Physical Activity Recognition by Utilising Smartphone Sensor Signals—0
RuMedBench: A Russian Medical Language Understanding BenchmarkCode1
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters—0
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data—0
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal ClassificationCode1
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression NetworkCode1
Few-shot Backdoor Defense Using Shapley Estimation—0
Transformer Uncertainty Estimation with Hierarchical Stochastic AttentionCode1
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent—0
Magnifying Networks for Images with Billions of Pixels—0
Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems—0
Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans—0
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and ClassificationCode1
Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm—0
Explainable Deep Image Classifiers for Skin Lesion Diagnosis—0
Selective Ensembles for Consistent Predictions—0
Dialogue Inspectional Summarization with Factual Inconsistency Awareness—0
CVAD: A generic medical anomaly detector based on Cascade VAECode0
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
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Benchmark Results

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