Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology
Samual MacDonald, Helena Foley, Melvyn Yap, Rebecca L. Johnston, Kaiah Steven, Lambros T. Koufariotis, Sowmya Sharma, Scott Wood, Venkateswar Addala, John V. Pearson, Fred Roosta, Nicola Waddell, Olga Kondrashova, Maciej Trzaskowski
This paper benchmarks Bayesian deep learning models for predicting cancer of unknown primary, showing improved uncertainty generalisation and accuracy under distributional shifts.
Scientific Reports · May 6, 2023Peer-reviewedBioinformatics