An artificial intelligence system using maximum intensity projection MR images facilitates classific...
An artificial intelligence system using maximum intensity projection MR images facilitates classification of non-mass enhancement breast lesions
About this item
Full title
Author / Creator
Wang, Lijun , Chang, Lufan , Luo, Ran , Cui, Xuee , Liu, Huanhuan , Wu, Haoting , Chen, Yanhong , Zhang, Yuzhen , Wu, Chenqing , Li, Fangzhen , Liu, Hao , Guan, Wenbin and Wang, Dengbin
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Objectives
To build an artificial intelligence (AI) system to classify benign and malignant non-mass enhancement (NME) lesions using maximum intensity projection (MIP) of early post-contrast subtracted breast MR images.
Methods
This retrospective study collected 965 pure NME lesions (539 benign and 426 malignant) confirmed by histopatholog...
Alternative Titles
Full title
An artificial intelligence system using maximum intensity projection MR images facilitates classification of non-mass enhancement breast lesions
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2678987970
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2678987970
Other Identifiers
ISSN
1432-1084,0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-022-08553-5
