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 401–450 of 714 papers

TitleStatusHype
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
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic—0
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection—0
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks—0
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech—0
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data—0
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults—0
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions—0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss—0
Weakly Supervised Multi-task Learning for Concept-based Explainability—0
When to Trust AI: Advances and Challenges for Certification of Neural Networks—0
Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection—0
White blood cell subtype detection and classification—0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
Wikipedia for Smart Machines and Double Deep Machine Learning—0
Wireless Network Intelligence at the Edge—0
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations—0
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model—0
Feature Selection based on PCA and PSO for Multimodal Medical Image Fusion using DTCWT—0
Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease—0
Federated learning: Applications, challenges and future directions—0
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations—0
Few-shot Backdoor Defense Using Shapley Estimation—0
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data—0
Fragility-aware Classification for Understanding Risk and Improving Generalization—0
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Fuzzy expert system for prediction of prostate cancer—0
Gastrointestinal Disorder Detection with a Transformer Based Approach—0
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks—0
GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation—0
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets—0
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data—0
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features—0
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future—0
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis—0
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights—0
Harnessing Explanations to Bridge AI and Humans—0
Hear Your Code Fail, Voice-Assisted Debugging for Python—0
HeteroMed: Heterogeneous Information Network for Medical Diagnosis—0
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation—0
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation—0
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier—0
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Benchmark Results

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