Lung cancer screening with low-dose CT scans using a deep learning approach

no code implementations • 1 Jun 2019 • Jason L. Causey, Yuanfang Guan, Wei Dong, Karl Walker, Jake A. Qualls, Fred Prior, Xiuzhen Huang

We applied to this cohort our newly developed algorithm, DeepScreener, which is based on a novel deep learning approach.

Computed Tomography (CT)

Highly accurate model for prediction of lung nodule malignancy with CT scans

no code implementations • 6 Feb 2018 • Jason Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake Qualls, David G. Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang

Here we present NoduleX, a systematic approach to predict lung nodule malignancy from CT data, based on deep learning convolutional neural networks (CNN).

Computed Tomography (CT)

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discover

1 code implementation • 9 Jan 2018 • Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore

In this paper a novel biclustering algorithm based on artificial intelligence (AI) is introduced.