Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules.

Zhao, Jumin; Zhang, Chen; Li, Dengao; Niu, Jing

Zhao, Jumin; Zhang, Chen; Li, Dengao; Niu, Jing.

Affiliation

Zhao J; College of Information and Computer, Taiyuan University of Technology, Jinzhong, China.
Zhang C; Technology Research Center of Spatial Information Network Engineering of Shanxi, Jinzhong, China.
Li D; College of Information and Computer, Taiyuan University of Technology, Jinzhong, China.
Niu J; Technology Research Center of Spatial Information Network Engineering of Shanxi, Jinzhong, China. lidengao@tyut.edu.cn.

J Digit Imaging ; 33(4): 869-878, 2020 08.

Article in En | MEDLINE | ID: mdl-32285220

Subject(s)

Multiple Pulmonary Nodules; Solitary Pulmonary Nodule; Humans; Lung Neoplasms/diagnostic imaging; Multiple Pulmonary Nodules/diagnostic imaging; Neural Networks, Computer; Radiographic Image Interpretation, Computer-Assisted; Solitary Pulmonary Nodule/diagnostic imaging; Tomography, X-Ray Computed

Key words

Convolutional neural network; Multi-scale feature fusion; Multi-task learning; Pulmonary nodule classification

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solitary Pulmonary Nodule / Multiple Pulmonary Nodules Type of study: Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: J Digit Imaging Journal subject: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Year: 2020 Document type: Article Affiliation country: China Country of publication: United States

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google