SonoNet-weights

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SonoNet-weights

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Model descriptions and weights for all the variations of the SonoNet for real-time fetal standard scan plane detection.

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# SonoNet weights

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"](https://arxiv.org/abs/1612.05601), 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"](http://link.springer.com/chapter/10.1007/978-3-319-46723-8_24), 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](http://deeplearning.net/software/theano/)
and the [lasagne](https://github.com/Lasagne/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`.

## Setup

Running `example.py` requires the latest theano and lasagne versions. Follow
the instructions [here](http://lasagne.readthedocs.io/en/latest/user/installation.html),
under the section "Bleeding Edge".

Furthermore, `numpy`, `scipy` are required.

Once everything is set up you can simply run:

python example.py

## Demo videos

Demo videos are available on Youtube:

[![Youtube video 1](http://img.youtube.com/vi/yPCvAdOYncQ/0.jpg)](http://www.youtube.com/watch?v=yPCvAdOYncQ)
[![Youtube video 2](http://img.youtube.com/vi/4V8V0jF0zFc/0.jpg)](http://www.youtube.com/watch?v=4V8V0jF0zFc)

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