Robotics & Machine Learning Daily News2024,Issue(Jul.4) :97-98.

Northeastern University Reports Findings in Chronic Obstructive Pulmonary Diseas e (Learning and depicting lobe-based radiomics feature for COPD Severity staging in low-dose CT images)

东北大学报告慢性阻塞性肺病的发现e(学习和描绘低剂量CT图像中COPD严重程度分期的基于lobe的放射组学特征)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :97-98.

Northeastern University Reports Findings in Chronic Obstructive Pulmonary Diseas e (Learning and depicting lobe-based radiomics feature for COPD Severity staging in low-dose CT images)

东北大学报告慢性阻塞性肺病的发现e(学习和描绘低剂量CT图像中COPD严重程度分期的基于lobe的放射组学特征)

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摘要

一位新闻记者兼机器人与机器学习公司的新闻编辑每日新闻-肺部疾病和疾病的新研究-慢性阻塞性肺病是一篇报道的主题。根据NewSRX记者在中国沈阳发布的新闻报道,研究表明:“慢性阻塞性肺疾病(COPD)是一种流行的、令人衰弱的呼吸系统疾病,在世界范围内造成了巨大的医疗负担。准确的COPD严重程度分期对于患者管理和治疗计划至关重要。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Lung Diseases and Cond itions - Chronic Obstructive Pulmonary Disease is the subject of a report. Accor ding to news reporting originating in Shenyang, People’s Republic of China, by N ewsRx journalists, research stated, “Chronic obstructive pulmonary disease (COPD ) is a prevalent and debilitating respiratory condition that imposes a significa nt healthcare burden worldwide. Accurate staging of COPD severity is crucial for patient management and treatment planning.”

Key words

Shenyang/People’s Republic of China/Asia/Chronic Obstructive Pulmonary Disease/Health and Medicine/Lung Diseases an d Conditions/Machine Learning/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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