Silin Pan
Boston Children's Hospital
3 Papers
1 Citations
Silin Pan is an academic researcher from Boston Children's Hospital. The author has contributed to research in topics: Fetus & Feature (linguistics). The author has an hindex of 1, co-authored 3 publications.
Chat about Author
Papers
RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease
TL;DR: Wang et al. as discussed by the authors proposed a simple yet effective residual learning diagnosis system (RLDS) for diagnosing fetal CHD to improve diagnostic accuracy, which adopts convolutional neural networks to extract discriminative features of the fetal cardiac anatomical structures.
37
FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-chamber Views
TL;DR: Wang et al. as discussed by the authors proposed an intelligent feature learning detection system (FLDS) for fetal four-chamber (FC) views to detect the four chambers, which is an extremely challenging task due to several key factors, such as numerous speckles in US images, the fetal four chambers with small size and unfixed positions, and category confusion caused by the similarity of cardiac chambers.
27
Intrauterine Intervention of Pulmonary Atresia at 26th Gestational Week.
TL;DR: To the Editor: Congenital heart diseases (CHDs) are the most common congenital structural anomalies in China and most of them are curable after birth, however, some defects progress during fetal period, thus resulting in high neonatal mortality and morbidity.
3