首页|Affiliated Hospital of Southwest Medical University Reports Findings in Hypopharyngeal Cancer (Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature)
Affiliated Hospital of Southwest Medical University Reports Findings in Hypopharyngeal Cancer (Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Hypopharyngeal Cancer is the subject of a report. Accordingto news reporting out of Sichuan, People’s Republic of China, by NewsRx editors, research stated, “Todevelop and assess a radiomics-based prediction model for distinguishing T2/T3 staging of laryngeal andhypopharyngeal squamous cell carcinoma (LHSCC) METHODS: A total of 118 patients with pathologicallyproven LHSCC were enrolled in this retrospective study. We performed feature processing based on 851radiomic features derived from contrast-enhanced CT images and established multiple radiomic models bycombining three feature selection methods and seven machine learning classifiers.”
SichuanPeople’s Republic of ChinaAsiaCancerCyborgsEmerging TechnologiesHealth and MedicineHypopharyngeal CancerMachine LearningOncology
NETL
NSTL
