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 401–425 of 714 papers

TitleStatusHype
Learning to Predict Error for MRI Reconstruction—0
Single-step Adversarial training with Dropout Scheduling—0
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders—0
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices—0
Smart machines and the SP theory of intelligence—0
SMFusion: Semantic-Preserving Fusion of Multimodal Medical Images for Enhanced Clinical Diagnosis—0
Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography—0
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis—0
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations—0
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification—0
SpecReX: Explainable AI for Raman Spectroscopy—0
Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge—0
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks—0
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae—0
Stabilized Medical Attacks—0
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies—0
Stable Vision Concept Transformers for Medical Diagnosis—0
Stacked Autoencoders for Medical Image Search—0
Statistical reproducibility of meta-analysis research claims for medical mask use in community settings to prevent COVID infection—0
Statistical Test for Anomaly Detections by Variational Auto-Encoders—0
Stochastic Sequential Neural Networks with Structured Inference—0
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision—0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images—0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis—0
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms—0
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Benchmark Results

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