Predicting survival time of lung cancer patients using radiomic analysis
Author:
Affiliation:
1. Division of Radiation Oncology, McGill University, Montréal, Canada
2. The Laboratory for Imagery, Vision and Artificial Intelligence, Ecole de Technologie Supérieure, Montréal, Canada
Publisher
Impact Journals, LLC
Subject
Oncology
Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A dual-radiomics model for overall survival prediction in early-stage NSCLC patient using pre-treatment CT images;Frontiers in Oncology;2024-08-14
2. A Genetic Programming Approach to Radiomic-Based Feature Construction for Survival Prediction in Non-Small Cell Lung Cancer;Applied Sciences;2024-08-07
3. RETRACTED: Comparison of prediction fuzzy modeling towards high-risk symptoms of lung cancer;Journal of Intelligent & Fuzzy Systems;2024-04-18
4. Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data;Computer Methods and Programs in Biomedicine;2024-02
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