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 651–700 of 714 papers

TitleStatusHype
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations—0
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics—0
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies—0
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data—0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
Efficient Online Decision Tree Learning with Active Feature Acquisition—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks—0
Empirical performance maximization for linear rank statistics—0
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification—0
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches—0
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration—0
Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models—0
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance—0
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification—0
Ensemble model for pre-discharge icd10 coding prediction—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
Estimating Uncertainty Online Against an Adversary—0
Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning—0
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis—0
Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Evolving Tsukamoto Neuro Fuzzy Model for Multiclass Covid 19 Classification with Chest X Ray Images—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
Explainable AI meets Healthcare: A Study on Heart Disease Dataset—0
eXplainable Artificial Intelligence on Medical Images: A Survey—0
Explainable Deep Image Classifiers for Skin Lesion Diagnosis—0
Explaining Predictions of Deep Neural Classifier via Activation Analysis—0
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image—0
Exploring the Efficacy of Partial Denoising Using Bit Plane Slicing for Enhanced Fracture Identification: A Comparative Study of Deep Learning-Based Approaches and Handcrafted Feature Extraction Techniques—0
Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data—0
Extracting Disease-Symptom Relationships by Learning Syntactic Patterns from Dependency Graphs—0
F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns—0
Fairness-aware Model-agnostic Positive and Unlabeled Learning—0
Fairshare Data Pricing via Data Valuation for Large Language Models—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
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Benchmark Results

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