This repository contains pretrained weights and model descriptions for all of the SonoNet variations described in our recent submission:
Baumgartner et al., "Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound", arXiv preprint:1612.05601 (2016),
and prior work published here:
Baumgartner et al., "Real-time standard scan plane detection and localisation in fetal ultrasound using fully convolutional neural networks", Proc. MICCAI (2016).
Please acknowledge the first of the two papers above if you end up using the these weights for your work.
The networks were trained using theano and the lasagne deep learning framework.
The weights are saved in the respective .npz files, the model definitions are
given in models.py. A minimal example for classifying the images in the folder
example_images is given in example.py.
Running example.py requires the latest theano and lasagne versions. Follow
the instructions here,
under the section "Bleeding Edge".
Furthermore, numpy, scipy are required.
Once everything is set up you can simply run:
python example.py
Demo videos are available on Youtube:
