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 201–225 of 714 papers

TitleStatusHype
Leveraging the Urysohn Lemma of Topology for an Enhanced Binary ClassifierCode0
A Survey of Reasoning with Foundation ModelsCode2
OpenMedCalc: Augmentation of ChatGPT with Clinician-Informed Tools Improves Performance on Medical Calculation TasksCode0
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis—0
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Instant Uncertainty Calibration of NeRFs Using a Meta-CalibratorCode0
Methods to Estimate Large Language Model Confidence—0
Security and Privacy Challenges in Deep Learning Models—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
Generating Progressive Images from Pathological Transitions via Diffusion ModelCode1
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification—0
ChatGPT and post-test probability—0
A New Approach to Intuitionistic Fuzzy Decision Making Based on Projection Technology and Cosine Similarity Measure—0
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model—0
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsCode1
Dynamic Multimodal Information Bottleneck for Multimodality ClassificationCode0
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators—0
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved GeneralizationCode0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based ApproachesCode1
F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
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Benchmark Results

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