Title | ||
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Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images. |
Abstract | ||
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•A computer-aided decision support system based on FCNN is proposed.•ROI-based segmentation has improved the nodule detection through DFCNet.•Cancer stage physiological symptoms prevalence and DFCNet output are used for cancer stage classification. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.jbi.2018.01.005 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Lung cancer stages,Nodule detection,Deep learning,Convolutional neural networks (CNN),mIoT (medical Internet of Things),MBAN (Medical Body Area Network) | Data mining,Solitary pulmonary nodule,Pattern recognition,Convolutional neural network,Computer science,Decision support system,Software,Body area network,Artificial intelligence,Deep learning,Classifier (linguistics),Cancer | Journal |
Volume | ISSN | Citations |
79 | 1532-0464 | 9 |
PageRank | References | Authors |
0.46 | 11 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anum Masood | 1 | 9 | 0.46 |
Bin Sheng | 2 | 368 | 61.19 |
Ping Li | 3 | 202 | 40.76 |
Xuhong Hou | 4 | 47 | 4.03 |
Xiaoer Wei | 5 | 9 | 0.46 |
Jing Qin | 6 | 1109 | 95.43 |
David Dagan Feng | 7 | 3329 | 413.76 |