1 citations · 1 across the 3 of their papers we have counts for
3 papers
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy
Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley +2
We developed a transparent computational large-scale imaging-based framework that can distinguish between normal and metastasizing human cells. The method relies on fluorescence mi…
Reliability of Tumour Classification from Multi-Dimensional DCE-MRI Variables using Data Transformations
S. V. Notley, N. A. Thacker, L. Horsley +5
Summary mean DCE-MRI variables show a clear dependency between signal and noise variance, which can be shown to reduce the effectiveness of difference assessments. Appropriate tran…
Fundamental Issues Regarding Uncertainties in Artificial Neural Networks
Neil A. Thacker, Carole J. Twining, Paul D. Tar +2
Artificial Neural Networks (ANNs) implement a specific form of multi-variate extrapolation and will generate an output for any input pattern, even when there is no similar training…