Robotics & Machine Learning Daily News2024,Issue(Aug.30) :36-36.

Fudan University Reports Findings in Solid Cancer (Fast prediction of personaliz ed abdominal organ doses from CT examinations by radiomics feature-based machine learning models)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :36-36.

Fudan University Reports Findings in Solid Cancer (Fast prediction of personaliz ed abdominal organ doses from CT examinations by radiomics feature-based machine learning models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Solid Cance r is the subject of a report. According tonews originating from Shanghai, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“The X-rays em itted during CT scans can increase solid cancer risks by damaging DNA, with the risk tiedto patient-specific organ doses. This study aims to establish a new me thod to predict patient specificabdominal organ doses from CT examinations usin g minimized computational resources at a fast speed.”

Key words

Shanghai/People’s Republic of China/As ia/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learnin g/Oncology/Risk and Prevention/Solid Cancer

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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