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
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
Master's Thesis: Out-of-distribution Detection with Energy-based ModelsCode0
Statistical reproducibility of meta-analysis research claims for medical mask use in community settings to prevent COVID infection—0
Artificial Intelligence Model for Tumoral Clinical Decision Support Systems—0
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology—0
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis—0
MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics—0
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image—0
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices—0
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications—0
Selective classification using a robust meta-learning approach—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
Understanding and Enhancing Robustness of Concept-based Models—0
Collaborative Training of Medical Artificial Intelligence Models with non-uniform LabelsCode0
A Privacy-Preserving Outsourced Data Model in Cloud Environment—0
Utilising physics-guided deep learning to overcome data scarcityCode0
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning—0
Introduction and Exemplars of Uncertainty Decomposition—0
Semantic Decomposition Improves Learning of Large Language Models on EHR Data—0
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification—0
Gastrointestinal Disorder Detection with a Transformer Based Approach—0
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time SeriesCode0
MEDFAIR: Benchmarking Fairness for Medical ImagingCode0
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis—0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss—0
Deep Labeling of fMRI Brain Networks Using Cloud Based Processing—0
Chromosome Segmentation Analysis Using Image Processing Techniques and Autoencoders—0
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervisionCode0
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays—0
Automated recognition of the pericardium contour on processed CT images using genetic algorithms—0
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination—0
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture—0
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices—0
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks—0
Applied Computer Vision on 2-Dimensional Lung X-Ray Images for Assisted Medical Diagnosis of Pneumonia—0
Learning Relaxation for Multigrid—0
Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape StudiesCode0
Revealing Unfair Models by Mining Interpretable Evidence—0
Identifying the Context Shift between Test Benchmarks and Production Data—0
Fairness-aware Model-agnostic Positive and Unlabeled Learning—0
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
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization—0
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation—0
Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph—0
Neurochaos Feature Transformation and Classification for Imbalanced LearningCode0
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology—0
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Benchmark Results

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