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 201–225 of 714 papers

TitleStatusHype
Selecting a classification performance measure: matching the measure to the problem—0
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis—0
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image SegmentationCode0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review—0
A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)—0
Comparison of Two Augmentation Methods in Improving Detection Accuracy of Hemarthrosis—0
4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole—0
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models—0
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation—0
Automated Optical Reading of Scanned ECGs—0
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuningCode0
ACCELERATION: Sequentially-scanning DECT Imaging Using High Temporal Resolution Image Reconstruction And Temporal Extrapolation—0
Minimum Enclosing Ball Synthetic Minority Oversampling Technique from a Geometric Perspective—0
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis—0
A Constrained Optimization approach for Ultrasound Shear Wave Speed Estimation with Time-Lateral Plane Cleaning—0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
This actually looks like that: Proto-BagNets for local and global interpretability-by-designCode0
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation—0
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly—0
A lightweight residual network for unsupervised deformable image registration—0
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection—0
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis—0
Understanding differences in applying DETR to natural and medical images—0
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Benchmark Results

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