A new deep-learning model using YOLOv3 to support sperm selection during intracytoplasmic sperm injection procedure.

Takuma Sato Hiroshi KishiSaori MurakataYuki HayashiToshiyuki HattoriShinji NakazawaYusuke MoriMiwa HidakaYuta KasaharaAtsuko KusuharaKayo HosoyaHiroshi HayashiAikou Okamoto

Published in: Reproductive medicine and biology (2022)

This study showed that evaluating sperm morphology while tracking in a single model is possible by training YOLO v3. This model could acquire time-series data of one sperm, which will assist in acquiring and annotating sperm image data.

Keyphrases

deep learning
electronic health record
big data
machine learning
minimally invasive
convolutional neural network
virtual reality