  We present GAAF, a Generalised Automatic Anatomy Finder, for the
identification of generic anatomical locations in 3D CT scans. GAAF is an
end-to-end pipeline, with dedicated modules for data pre-processing, model
training, and inference. At it's core, GAAF uses a custom a localisation
convolutional neural network (CNN). The CNN model is small, lightweight and can
be adjusted to suit the particular application. The GAAF framework has so far
been tested in the head and neck, and is able to find anatomical locations such
as the centre-of-mass of the brainstem. GAAF was evaluated in an open-access
dataset and is capable of accurate and robust localisation performance. All our
code is open source and available at https://github.com/rrr-uom-projects/GAAF.
