131 citations · 182 across the 3 of their papers we have counts for
3 papers
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…
Learning what to look in chest X-rays with a recurrent visual attention model
Petros-Pavlos Ypsilantis, Giovanni Montana
X-rays are commonly performed imaging tests that use small amounts of radiation to produce pictures of the organs, tissues, and bones of the body. X-rays of the chest are used to d…
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
Petros-Pavlos Ypsilantis, Giovanni Montana
Computed tomography (CT) generates a stack of cross-sectional images covering a region of the body. The visual assessment of these images for the identification of potential abnorm…