National-Regional Key Technology Engineering Laboratory for Medical Ultrasound
School of Biomedical Engineering
Shenzhen University, Shenzhen, China
Medical image analysis (e.g. brain disorder, fetal ultrasound)
Pattern recognition and machine learning in medical application
feature extraction,medical image processing,biomedical measurement,biomedical ultrasonics,biometrics (access control),computerised tomography,diseases,ear,feature selection,image recognition,learning (artificial intelligence),lung,medical computing,obstetrics,patient diagnosis,pattern classification,pneumodynamics,regression analysis
Baiying Lei received the M.Eng. degree in electronics science and technology from Zhejiang University, China, in 2007, and the PhD degree from Nanyang Technological University, Singapore, in 2013. She is currently with the National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University, China. Her current research interests include medical image analysis, machine learning, pattern recognition, digital watermarking, and signal processing.(Based on a document published on 28 February 2018).