Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming

no code implementations • 6 Feb 2017 • 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 in health care systems around the world.

BIG-bench Machine Learning Dimensionality Reduction

Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation

no code implementations • 31 Jan 2017 • Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers

Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis.

Computed Tomography (CT) Organ Segmentation +3

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation

no code implementations • 24 Jun 2016 • Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers

Accurate automatic organ segmentation is an important yet challenging problem for medical image analysis.

Automated Pancreas Segmentation Organ Segmentation +2