Towards an open-source, equipment-agnostic framework for automated welfare monitoring
An NC3Rs-funded project on unsupervised anomaly detection of welfare events in videos of home-caged mice.
EQuIP (Enhanced Quantitative Imaging + Phenotyping)
Our lab comprises a diverse team of computational scientists who are developing machine learning algorithms for biomedical applications, equipping scientists across disciplines with cutting-edge, open-source tools.Current projects:
Weakly supervised brain tumour segmentation using generative adversarial networks
An EPSRC-funded project on weakly supervised brain tumour segmentation from multi-sequence MRI.