131 citations · 160 across the 3 of their papers we have counts for
3 papers
Longitudinal detection of radiological abnormalities with time-modulated LSTM
Ruggiero Santeramo, Samuel Withey, Giovanni Montana
Convolutional neural networks (CNNs) have been successfully employed in recent years for the detection of radiological abnormalities in medical images such as plain x-rays. To date…
Learning to detect chest radiographs containing lung nodules using visual attention networks
Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey +3
Machine learning approaches hold great potential for the automated detection of lung nodules in chest radiographs, but training the algorithms requires vary large amounts of manual…
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks
Savelie Cornegruta, Robert Bakewell, Samuel Withey +1
Motivated by the need to automate medical information extraction from free-text radiological reports, we present a bi-directional long short-term memory (BiLSTM) neural network arc…