On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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5 results for “CADx”

Synthetic Sampling for Multi-Class Malignancy Predictioncs.LG

Synthetic sampling improves per-class performance in multi-label malignancy prediction.

problem Imbalanced multi-label classification problem in CADx systems.

method Synthetic oversampling techniques using random forest classifier.

result Average 7.22% point increase in sensitivity for minority classes.

oversampling synthetic nodules malignancy prediction CADx random forest

2018-07-07abs ↗pdf ↗

Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Timecs.LG

Simplifies decision-making during medical exams with cost-efficient feature acquisition.

problem Guiding physicians during examination acquisition for accurate and efficient diagnosis.

method Dropout at input layer and integrated gradients at test-time for dynamic feature importance.

result More cost- and feature-efficient than prior approaches, achieving higher overall accuracy.

medical diagnosis feature acquisition dropout integrated gradients accuracy

2020-03-31abs ↗pdf ↗

Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)cs.LG

MGMC method handles missing data in medical datasets for accurate disease classification.

problem Handling missing data in incomplete medical datasets for accurate disease classification.

method Multigraph Geometric Matrix Completion (MGMC) using multiple graph convolutional networks.

result MGMC achieves superior classification and imputation performance compared to state-of-the-art approaches.

Medical datasets Incomplete data Disease classification Multigraph Geometric Matrix Completion Graph convolutional networks

2020-05-14abs ↗pdf ↗

Secure and Robust Machine Learning for Healthcare: A Surveycs.LG

Survey on securing ML for healthcare, addressing privacy and robustness issues.

problem Security and robustness challenges in healthcare ML/DL applications.

method Overview of security and privacy methods for ML in healthcare.

result Discussion of current research challenges and future directions.

machine learning healthcare security privacy adversarial attacks

2020-01-21abs ↗pdf ↗

Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Featureseess.IV

GAN normalizes CT scans for consistent radiomic feature values.

problem Variations in dose levels and slice thickness affect radiomic features sensitivity.

method Used a 3D generative adversarial network (GAN) to normalize reduced dose, thick slice images to normal dose, thinner slice images.

result GAN-based approach led to significantly smaller error in radiomic features.

CT normalization radiomic features GAN peak signal-to-noise ratio structural similarity index

2020-01-22abs ↗pdf ↗