papers
Publications (3)
cs.CV2017
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
Holger R. Roth, Le Lu, Nathan Lay +4
Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis. Specifically, the pancreas demonstrates ver…
cs.NE2017
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming
Andrew Sohn, Randal S. Olson, Jason H. Moore
Machine learning has been gaining traction in recent years to meet the demand for tools that can efficiently analyze and make sense of the ever-growing databases of biomedical data…
cs.CV2016
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
Holger R. Roth, Le Lu, Amal Farag +2
Accurate automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability.…