AED: An black-box NLP classifier model attacker
Abstract Deep Neural Networks (DNNs) have been successful in solving real-world tasks in
domains such as connected and automated vehicles, disease, and job hiring. However, their …
domains such as connected and automated vehicles, disease, and job hiring. However, their …
Fast prediction of personalized abdominal organ doses from CT examinations by radiomics feature-based machine learning models
W Shao, X Lin, W Zhao, Y Huang, L Qu, W Zhuo… - Scientific Reports, 2024 - nature.com
The X-rays emitted during CT scans can increase solid cancer risks by damaging DNA, with
the risk tied to patient-specific organ doses. This study aims to establish a new method to …
the risk tied to patient-specific organ doses. This study aims to establish a new method to …
[HTML][HTML] Rapid patient-specific organ dose estimation in computed tomography scans via integration of radiomics features and neural networks
W Shao, X Lin, Y Huang, L Qu… - Quantitative Imaging in …, 2024 - pmc.ncbi.nlm.nih.gov
Background Computed tomography (CT) offers detailed cross-sectional images of internal
anatomy for disease detection but carries a risk of solid cancer or blood malignancies due to …
anatomy for disease detection but carries a risk of solid cancer or blood malignancies due to …