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 551–600 of 714 papers

TitleStatusHype
UnMask: Adversarial Detection and Defense Through Robust Feature AlignmentCode1
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints—0
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
Learning to Predict Error for MRI Reconstruction—0
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks—0
Improving the Ability of Deep Neural Networks to Use Information From Multiple Views in Breast Cancer Screening—0
Morphological Signature for Improvement of Weakly Supervised Segmentation of Quadriceps Muscles on Magnetic Resonance Imaging Data—0
Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection—0
Representation Learning for Medical DataCode0
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Domain Adaptive Bootstrap Aggregating—0
On Interpretability of Artificial Neural Networks: A SurveyCode0
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules—0
Expectation Maximization with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis—0
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection—0
Semantic Similarity To Improve Question Understanding in a Virtual Patient—0
Classification with Costly Features in Hierarchical Deep SetsCode0
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis—0
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets—0
Counterfactual diagnosisCode0
Open Set Medical Diagnosis—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Adapting to Label Shift with Bias-Corrected Calibration—0
Bias-Resilient Neural Network—0
Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis—0
Value of Information in Probabilistic Logic Programs—0
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices—0
Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis—0
Regression Under Human AssistanceCode0
Machine learning approach of automatic identification and counting of blood cellsCode0
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis—0
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty AnalysisCode1
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features—0
Reinforcement Learning in Healthcare: A Survey—0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques—0
Machine learning approach of automatic identification and counting of blood cellsCode0
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning—0
Justifying Diagnosis Decisions by Deep Neural Networks—0
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision—0
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale BoosterCode0
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced DataCode0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks—0
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksCode0
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction—0
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Benchmark Results

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