Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears
Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears
About this item
Full title
Author / Creator
Eckardt, Jan-Niklas , Schmittmann, Tim , Riechert, Sebastian , Kramer, Michael , Sulaiman, Anas Shekh , Sockel, Katja , Kroschinsky, Frank , Schetelig, Johannes , Wagenführ, Lisa , Schuler, Ulrich , Platzbecker, Uwe , Thiede, Christian , Stölzel, Friedrich , Röllig, Christoph , Bornhäuser, Martin , Wendt, Karsten and Middeke, Jan Moritz
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Acute promyelocytic leukemia (APL) is considered a hematologic emergency due to high risk of bleeding and fatal hemorrhages being a major cause of death. Despite lower death rates reported from clinical trials, patient registry data suggest an early death rate of 20%, especially for elderly and frail patients. Therefore, reliable diagnosis is requi...
Alternative Titles
Full title
Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears
Authors, Artists and Contributors
Author / Creator
Schmittmann, Tim
Riechert, Sebastian
Kramer, Michael
Sulaiman, Anas Shekh
Sockel, Katja
Kroschinsky, Frank
Schetelig, Johannes
Wagenführ, Lisa
Schuler, Ulrich
Platzbecker, Uwe
Thiede, Christian
Stölzel, Friedrich
Röllig, Christoph
Bornhäuser, Martin
Wendt, Karsten
Middeke, Jan Moritz
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_860737bcc34b40f29cc3980b01a316f6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_860737bcc34b40f29cc3980b01a316f6
Other Identifiers
ISSN
1471-2407
E-ISSN
1471-2407
DOI
10.1186/s12885-022-09307-8
