Results Dataset - Neonatal MRI Lung Segmentation and 3D Features

We developed an ensemble of deep convolutional neural networks to automatically and with high consistency perform neonatal lung segmentation from MRI sequences. A 3D representation of the lung and a clustering method to separate left and right lobes were implemented to calculate volumetric features. In addition, ML Models for severity prediction of Bronchopulmonary Dysplasia (BPD) are implemented as an applied example of the use of MRI lung volumetric features for disease prognosis. This dataset comprises the resulting performances and features per MRI-sequence.