Tongde Hospital Zhejiang Province Reports Findings in Breast Cancer Screening (M achine Learning Based on Digital Mammography to Reduce the Need for Invasive Bio psies of Benign Calcifications Classified in BI-RADS Category 4)
Tongde Hospital Zhejiang Province Reports Findings in Breast Cancer Screening (M achine Learning Based on Digital Mammography to Reduce the Need for Invasive Bio psies of Benign Calcifications Classified in BI-RADS Category 4)
扫码查看
点击上方二维码区域，可以放大扫码查看
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Diagnostics and Screen ing - Breast Cancer Screening is the subjectof a report. According to news repo rting originating in Hangzhou, People’s Republic of China, byNewsRx journalists , research stated, “This study aims to develop a machine learning model applied ondigital mammograms to reduce unnecessary invasive biopsies for suspicious cal cifications classified as BIRADScategory 4. This study retrospectively analyze d data from 372 female patients with pathologicallyconfirmed BI-RADS category 4 mammographic calcifications.”
Key words
Hangzhou/People’s Republic of China/As ia/Breast Cancer Screening/Cancer/Cyborgs/Diagnostics and Screening/Emergin g Technologies/Health and Medicine/Hospitals/Machine Learning/Mammogram/Mam mography/Oncology/Risk and Prevention/Women’s Health
NETL
NSTL