Robotics & Machine Learning Daily News2024,Issue(Jan.19) :60-61.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.19) :60-61.

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)

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Abstract

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.”

Key words

Sichuan/People’s Republic of China/Asia/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Hypopharyngeal Cancer/Machine Learning/Oncology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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