3 papers
eess.IV2019
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images
Hoileong Lee, Tahreema Matin, Fergus Gleeson +1
The human lung is a complex respiratory organ, consisting of five distinct anatomic compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes from com…
eess.IV2019
A Multi-Task Self-Normalizing 3D-CNN to Infer Tuberculosis Radiological Manifestations
Pedro M. Gordaliza, Juan José Vaquero, Sally Sharpe +2
We propose a learning method well-suited to infer the presence of Tuberculosis (TB) manifestations on Computer Tomography (CT) scans mimicking the radiologist reports. Latent featu…
cs.CV2016
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation
Benjamin Irving, James M Franklin, Bartlomiej W Papiez +5
Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging task, and an automated and consistent method would be highly desirable to improve the modelli…