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 476–500 of 714 papers

TitleStatusHype
TAD: Trigger Approximation based Black-box Trojan Detection for AI—0
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis—0
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationCode0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images—0
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation—0
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation—0
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination—0
Learning Anthropometry from Rendered Humans—0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis—0
A Deep Learning Approach for Diabetic Retinopathy detection using Transfer Learning—0
Stabilized Medical Attacks—0
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning—0
Ensemble model for pre-discharge icd10 coding prediction—0
Dependency Decomposition and a Reject Option for Explainable Models—0
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
Explaining Predictions of Deep Neural Classifier via Activation Analysis—0
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic—0
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis—0
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare—0
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks—0
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images—0
Explainable AI meets Healthcare: A Study on Heart Disease Dataset—0
Photonics for artificial intelligence and neuromorphic computing—0
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Benchmark Results

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