Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images-Reference-Cited by-同舟云学术

Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images

Author:

Zhang Liwen¹,Dong Di¹²,Sun Yongqing³,Hu Chaoen¹,Sun Congxin⁴,Wu Qingqing³,Tian Jie¹⁵

Affiliation:

1. CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Jinan University, Zhuhai, China

3. Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, China

4. Department of Ultrasound, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China

5. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

Reference30 articles.

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