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

Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski. FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. In Teddy Mantoro, Minho Lee 0001, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto, editors, Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI. Volume 1517 of Communications in Computer and Information Science, pages 257-265, Springer, 2021. [doi]

@inproceedings{PlotkaWKLST21,
  title = {FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements},
  author = {Szymon Plotka and Tomasz Wlodarczyk and Adam Klasa and Michal Lipa and Arkadiusz Sitek and Tomasz Trzcinski},
  year = {2021},
  doi = {10.1007/978-3-030-92310-5_30},
  url = {https://doi.org/10.1007/978-3-030-92310-5_30},
  researchr = {https://researchr.org/publication/PlotkaWKLST21},
  cites = {0},
  citedby = {0},
  pages = {257-265},
  booktitle = {Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI},
  editor = {Teddy Mantoro and Minho Lee 0001 and Media Anugerah Ayu and Kok Wai Wong and Achmad Nizar Hidayanto},
  volume = {1517},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-92310-5},
}