Multi-order Transfer Learning for Pathologic Diagnosis of Pulmonary Nodule Malignancy

Precise diagnosis of pulmonary nodules can be very crucial as pulmonary nodules are often the common manifestation of early lung cancers. In this study, we investigate the multi-order transfer learning for the assessments of pulmonary nodules to leverage the classification performance of nodules wit...

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Bibliographic Details

Published in:	2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 2813 - 2815
Main Authors:	Wang, Qingfeng, Cheng, Jie-Zhi, Liu, Zhiqin, Huang, Jun, Liu, Qiyu, Zhou, Ying, Xu, Weiyun, Wang, Chao, Zhou, Xuehai
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2018
Subjects:	Cancer Computed tomography computed tomography (CT) computer-aided diagnosis Lung multi-order transfer learning Neurons pathologic diagnosis pulmonary nodule Semantics Task analysis
Online Access:	Get full text
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