Spontaneous preterm birth prediction using convolutional neural networks

no code implementations • 16 Aug 2020 • Tomasz Włodarczyk, Szymon Płotka, Przemysław Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michał Lipa, Tomasz Trzciński

Based on the conducted results and model efficiency, we decided to extend U-Net by adding a parallel branch for classification task.

Estimation of preterm birth markers with U-Net segmentation network

no code implementations • 24 Aug 2019 • Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński, Przemysław Rokita, Nicole Sochacki-Wójcicka, Michał Lipa, Jakub Wójcicki

To achieve this goal, we propose to first use a deep neural network architecture for segmenting prenatal ultrasound images and then automatically extract two biophysical ultrasound markers, cervical length (CL) and anterior cervical angle (ACA), from the resulting images.