IEEE

Perturbation Analysis of Learning Algorithms: Generation of Adversarial Examples From Classification to Regression

Abstract: Despite the tremendous success of deep neural networks in various learning problems, it has been observed that adding intentionally designed adversarial perturbations to inputs of these ...
IEEE

Lung Cancer Recurrence Prediction Using Radiomics Features of PET Tumor Sub-Volumes and Multi-Machine Learning Algorithms

Abstract: We aimed to predict recurrence in lung cancer patients using PET radiomics features and machine learning algorithms. In this work, 136 non-small cell lung cancer (NSCLC) patients were ...