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Deep learning tool improves accuracy of lung nodule malignancy detection

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results.

Deep learning model estimates cancer risk of lung nodules

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer ...
Scientific Research Publishing

Machine Learning for Financial Risk Management: Modeling Time-Varying Factor Sensitivities Using Factor Variational Autoencoders ()

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
IEEE

Efficient Malware Detection Using Transfer Learning and GAN-Based Data Augmentation

Abstract: Rapid malware evolution calls for the creation of novel, imaginative techniques that enhance the accuracy and resilience of traditional detection methods. Here, a hybrid strategy focused on ...
IEEE

Learning Explainable Malware Characterization Using Knowledge Base Embedding

Abstract: Malware detection is critical in cybersecurity, yet traditional signature-based methods often fail against emerging threats. Recent advancements suggest machine learning models can enhance ...