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We present GAAF, a Generalised Automatic Anatomy Finder, for theidentification of generic anatomical locations in 3D CT scans. GAAF is anend-to-end pipeline, with dedicated modules for data pre-processing, modeltraining, and inference. At it's core, GAAF uses a custom a localisationconvolutional neural network (CNN). The CNN model is small, lightweight and canbe adjusted to suit the particular application. The GAAF framework has so farbeen tested in the head and neck, and is able to find anatomical locations suchas the centre-of-mass of the brainstem. GAAF was evaluated in an open-accessdataset and is capable of accurate and robust localisation performance. All ourcode is open source and available at https://github.com/rrr-uom-projects/GAAF.

Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans