Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
About this item
Full title
Author / Creator
Si, Ke , Xue, Ying , Yu, Xiazhen , Zhu, Xinpei , Li, Qinghai , Gong, Wei , Liang, Tingbo and Duan, Shumin
Publisher
Australia: Ivyspring International Publisher Pty Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Australia: Ivyspring International Publisher Pty Ltd
Subjects
More information
Scope and Contents
Contents
Artificial intelligence can facilitate clinical decision making by considering massive amounts of medical imaging data. Various algorithms have been implemented for different clinical applications. Accurate diagnosis and treatment require reliable and interpretable data. For pancreatic tumor diagnosis, only 58.5% of images from the First Affiliated...
Alternative Titles
Full title
Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7778580
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7778580
Other Identifiers
ISSN
1838-7640
E-ISSN
1838-7640
DOI
10.7150/thno.52508
