Jing Gong

Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules

B. Zheng, Jing Gong, Ji-yu Liu, 2018, Physics in medicine and biology.

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

B. Zheng, Jing Gong, Ji-yu Liu, 2019, European Radiology.

CT-based radiomics nomogram for preoperative prediction of No.10 lymph nodes metastasis in advanced proximal gastric cancer.

Jing Gong, Lili Wang, Xin-ming Huang, 2020, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

Malignant-benign classification of pulmonary nodules based on random forest aided by clustering analysis

Wenhao Wu, Xiaobing Li, Gang Huang, 2019, Physics in medicine and biology.

Study on Prognosis Factors of Non-Small Cell Lung Cancer Based on CT Image Features

Shengdong Nie, Jing Gong, Xiaoteng Lu, 2019, J. Medical Imaging Health Informatics.

Correlation between CT based radiomics features and gene expression data in non-small cell lung cancer.

Hui-Hong Duan, Jing Gong, S. Nie, 2019, Journal of X-ray science and technology.

Association of CT-based imaging features and genomic data in non-small cell lung cancer

Ting Wang, Jing Gong, Li-jia Wang, 2018, Other Conferences.

Automatic detection of pulmonary nodules in CT images by incorporating 3D tensor filtering with local image feature analysis.

Bin Zheng, Jing Gong, Ji-yu Liu, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

A 3D Adaptive Template Matching Algorithm for Brain Tumor Detection

Jing Gong, Xiao-Fei Wang, Rui-Rui Bu, 2014 .

Fusion of quantitative imaging features and serum biomarkers to improve performance of computer‐aided diagnosis scheme for lung cancer: A preliminary study

Bin Zheng, Jing Gong, Sheng-Dong Nie, 2018, Medical physics.

Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis

Shengping Wang, Weijun Peng, Jing Gong, 2019, Physics in medicine and biology.

Computer-aided detection of pulmonary nodules using dynamic self-adaptive template matching and a FLDA classifier.

Bin Zheng, Jing Gong, Sheng-Dong Nie, 2016, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

A hybrid deep learning approach to predict malignancy of breast lesions using mammograms

Wei Qian, Jing Gong, Morteza Heidari, 2018, Medical Imaging.