Robotics & Machine Learning Daily News2024,Issue(Jun.13) :62-63.

Guangzhou Medical University Reports Findings in Squamous Cell Carcinoma (Advanc ing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach)

广州医科大学报道鳞状细胞癌的研究结果(基于放射学的综合方法——用可解释机器学习预测非小细胞肺癌病理亚型)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :62-63.

Guangzhou Medical University Reports Findings in Squamous Cell Carcinoma (Advanc ing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach)

广州医科大学报道鳞状细胞癌的研究结果(基于放射学的综合方法——用可解释机器学习预测非小细胞肺癌病理亚型)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-肿瘤学的新研究-鳞状细胞癌是一篇报道的主题。根据NewsRx记者在中华人民共和国广东的新闻报道,研究表明:“本研究旨在利用CT成像数据,开发和评估可解释的机器学习模型,以诊断非小细胞肺癌(NSCLC)的三种组织学亚型。本研究包括317例NSCLC患者的回顾性队列。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report. According to news reporting from Guangd ong, People's Republic of China, by NewsRx journalists, research stated, “This r esearch aims to develop and assess the performance of interpretable machine lear ning models for diagnosing three histological subtypes of non-small cell lung ca ncer (NSCLC) utilizing CT imaging data. A retrospective cohort of 317 patients d iagnosed with NSCLC was included in the study.”

Key words

Guangdong/People's Republic of China/Asia/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learni ng/Oncology/Squamous Cell Carcinoma

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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