… And look around us, there are people who are bodhisattvas in the field of social work,
nursing, education, health care. If we look into these people who volunteer their time and their …

… In this research we explore the use of imageries from virtually reconstructed past neighbourhoods
in … review begins by looking into the generational distances in Taiwan resulted from its …

… neural networks, and it has made great breakthroughs in medical imaging. In glaucoma …
A review of machine learning and deep learning applications[J]. 2018 Fourth International …

… top awards for his outstanding work in medical imaging. Dr. Tian … in clinical application of
next-level precision medicine in … Deep learning radiomic nomogram can predict the number of …

… investigations of machine learning on medical imaging of … to fully identify the clinical
application values of AI techniques … By combining all tumor attributes with synthetic minority over-…

… Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features[J].
J Am Coll Radiol, 2018, 15(3 Pt … A survey on deep learning in medical image analysis[J]. …

… to review China's contribution for AI-based medical imaging, … of deep learning for AI-based
medical imaging further, … realize the clinical applications of AI-based medical imaging. Finally, …

… In addition, integrating machine learning models into clinical … diagnostic imaging algorithms,
the field of brain imaging has … With the use of the synthetic minority oversampling technique …

… The data-driven deep learning technology has created unprecedented opportunities for …
Clinically applicable deep learning for diagnosis and referral in retinal disease[J]. Nat Med, 2018…

… development of medical image segmentation technology has been briefly reviewed. The …
of auto-segmentation of organs at risk and target volumes based on Atlas and deep learning in …