SanoScience / FetalNet

FetalNet: Multi-Task Deep Learning Framework for Fetal Ultrasound Biometric Measurements
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FetalNet

Repository for paper "FetalNet: Multi-Task Deep Learning Framework for Fetal Ultrasound Biometric Measurements" accepted at 28th International Conference on Neural Information Processing (ICONIP), Bali, Indonesia, 8-12 December 2021.

You can find multi-task neural network model for 2D+t spatio-temporal video analysis under models/FetalNet.py file.

Pre-training weights for FetalNet model: Google Drive

Last update 21.10.2021

If you are using our codes or weights, please cite our research work:

@inproceedings{plotka2021fetalnet,
  title={FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements},
  author={P{\l}otka, Szymon and W{\l}odarczyk, Tomasz and Klasa, Adam and Lipa, Micha{\l} and Sitek, Arkadiusz and Trzci{\'n}ski, Tomasz},
  booktitle={International Conference on Neural Information Processing},
  pages={257--265},
  year={2021},
  organization={Springer}
}