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 526–550 of 714 papers

TitleStatusHype
Deep learning-based holographic polarization microscopy—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms—0
Classification Under Human AssistanceCode0
Task-agnostic Out-of-Distribution Detection Using Kernel Density EstimationCode0
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation—0
MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model ExplanationsCode0
Boosting the Transferability of Adversarial Samples via Attention—0
Attention-based Neural Bag-of-Features Learning for Sequence DataCode0
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—0
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations—0
Learning to Complement Humans—0
ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies—0
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study—0
Testing Machine Translation via Referential Transparency—0
Single-step Adversarial training with Dropout Scheduling—0
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural networkCode0
RF Sensing for Continuous Monitoring of Human Activities for Home Consumer Applications—0
Harnessing Explanations to Bridge AI and Humans—0
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes—0
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical DiagnosisCode0
Optimized Light-Weight Convolutional Neural Networks for Histopathologic Cancer Detection—0
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture—0
Sampling for Deep Learning Model Diagnosis (Technical Report)—0
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Benchmark Results

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