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 351–375 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
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Benchmark Results

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