June 18, 2018

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

Scientific Reports, Nature. volume 8, Article number: 9286 (2018)

Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang

Abstract

Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It remains challenging for computational approaches to achieve performance comparable to experienced radiologists. Here we present NoduleX, a systematic approach to predict lung nodule malignancy from CT data, based on deep learning convolutional neural networks (CNN)…

Read more: https://www.nature.com/articles/s41598-018-27569-w