Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features

no code implementations • 7 Sep 2018 • Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Steve Jiang, Jing Wang

The fusion algorithm takes full advantage of the handcrafted features and the highest level CNN features learned at the output layer.

feature selection Specificity

Automatic multi-objective based feature selection for classification

no code implementations • 9 Jul 2018 • Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve Jiang, Jing Wang

Since not all radiomic features contribute to an effective classifying model, selecting an optimal feature subset is critical.

Classification feature selection +2

Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion

no code implementations • 4 Oct 2017 • Zhiguo Zhou, Zhi-Jie Zhou, Hongxia Hao, Shulong Li, Xi Chen, You Zhang, Michael Folkert, Jing Wang

First, the predictive performance of the model may be reduced when features extracted from an individual imaging modality are blindly combined into a single predictive model.