Title
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning.
Abstract
Bronchoscopy inspection, as a follow-up procedure next to the radiological imaging, plays a key role in the diagnosis and treatment design for lung disease patients. When performing bronchoscopy, doctors have to make a decision immediately whether to perform a biopsy. Because biopsies may cause uncontrollable and life-threatening bleeding of the lung tissue, thus doctors need to be selective with ...
Year
DOI
Venue
2018
10.1109/JTEHM.2018.2865787
IEEE Journal of Translational Engineering in Health and Medicine
Keywords
Field
DocType
Lung,Cancer,Bronchoscopy,Biopsy,Training,Biomedical imaging
Lung cancer,CAD,Lung,Computer science,Transfer of learning,Biopsy,Second opinion,Artificial intelligence,Bronchoscopy,Radiology,Tuberculosis,Machine learning
Journal
Volume
ISSN
Citations 
6
2168-2372
1
PageRank 
References 
Authors
0.40
9
18
Name
Order
Citations
PageRank
Tao Tan14610.25
Zhang Li221.43
Haixia Liu320.75
Ping Liu4237.95
Wenfang Tang510.40
Hui Li62410.84
Yue Sun7106.00
Yusheng Yan810.40
Keyu Li945.22
Tao Xu109813.14
Shanshan Wan1110.40
Ke Lou1211.07
Jun Xu1314931.86
Huiming Ying1410.40
Quchang Ouyang1510.40
Yuling Tang1610.40
Zheyu Hu1710.40
Qiang Li182014.81