Sano Team: Szymon Płotka, Arkadiusz Sitek
Goal: Preterm Birth Prediction based on fetal transvaginal ultrasound videos using Deep Learning methods
Collaboration:
- University Centre of Mother and Child’s Health, Medical University of Warsaw
- Michał Lipa, Medical University of Warsaw
- Tomasz Trzciński, Warsaw University of Technology
Data:
- 200 independent fetal transvaginal US recordings
Preliminary results:
- Deep learning methods are promising for preterm birth prediction
- Physical biomarkers could be a good preterm birth indicator
- Publication in preparation