Speaker: Dr. Zhang Yaqin, the Fifth Affiliated Hospital Sun Yat-sun University

Time: 2:00-3:00 p.m., 28 Apr 2021 (Wed)

Venue: T1-108

Language: Chinese

Abstract: 

Medical imaging is an indispensable part of modern medicine. How to help solve clinical problems based on a large amount of clinical imaging data is the main research direction of our team in recent years. Our group tried to use the COVID-19 outbreak and developed a few-shot machine learning (ML) approach for automated diagnosis of 2019 novel coronavirus-infected pneumonia (NCIP) on chest CT to help physicians make the diagnostic decision. We also mainly focus on the radiomics of breast cancer in recent years. In the diagnosis and detection of breast lesions, nipple, breast boundary, and pectoral muscle are the three most important anatomical landmarks. These research results are published in authoritative international journals, such asPhysics in Medicine & Biology,Medical PhysicsandIEEE Access. During the pandemic, the research on chest CT image pattern of COVID-19 was published in BMJ. In the future, we will conduct more in-depth research in the field of radiomics and image pattern.