An automated quantification algorithm for evaluating total metabolic tumor volume in patients with FDG‐avid lymphomas using a deep learning model

Saved in:
Bibliographic Details
Published inHematological oncology Vol. 41; no. S2; pp. 342 - 344
Main Authors Xu, T., Jemaa, S., Kumar, M., Balasubramanian, S., Shamas‐Din, A., Lyalina, S., Ounadjela, S., Malik, B., Lee, J., Morales, S. Figueroa, Nielsen, T., Carano, R. A. D., Kostakoglu, L., Capra, W.
Format Journal Article
LanguageEnglish
Published Chichester Wiley Subscription Services, Inc 01.06.2023
Subjects
Online AccessGet full text
ISSN0278-0232
1099-1069
1099-1069
DOI10.1002/hon.3164_245

Cover

More Information
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-0232
1099-1069
1099-1069
DOI:10.1002/hon.3164_245