Testing the generalizability and effectiveness of deep learning models among clinics: sperm detection as a pilot study

• Main Authors: Jiaqi Wang (Author), Yufei Jin (Author), Aojun Jiang (Author), Wenyuan Chen (Author), Guanqiao Shan (Author), Yifan Gu (Author), Yue Ming (Author), Jichang Li (Author), Chunfeng Yue (Author), Zongjie Huang (Author), Clifford Librach (Author), Ge Lin (Author), Xibu Wang (Author), Huan Zhao (Author), Yu Sun (Author), Zhuoran Zhang (Author)
• Format: Book
• Published: BMC, 2024-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Deep learning has been increasingly investigated for assisting clinical in vitro fertilization (IVF). The first technical step in many tasks is to visually detect and locate sperm, oocytes, and embryos in images. For clinical deployment of such deep learning models, different cli...