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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 714 papers

TitleStatusHype
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions—0
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Understanding and Enhancing Robustness of Concept-based Models—0
Understanding differences in applying DETR to natural and medical images—0
Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models—0
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis—0
Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing—0
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation—0
Unsupervised Learning of Noisy-Or Bayesian Networks—0
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis—0
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks—0
Using Belief Functions for Uncertainty Management and Knowledge Acquisition: An Expert Application—0
Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems—0
Using Experience Classification for Training Non-Markovian Tasks—0
Vaidya: A Spoken Dialog System for Health Domain—0
Value of Information in Probabilistic Logic Programs—0
Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis—0
Verifying Quantized Neural Networks using SMT-Based Model Checking—0
Vicomtech at eHealth-KD Challenge 2020: Deep End-to-End Model for Entity and Relation Extraction in Medical Text—0
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Benchmark Results

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