Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears.

ABSTRACT:

Background

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 required as treatment with differentiation-inducing agents leads to cure in the majority of patients. However, diagnosis commonly relies on cytomorphology and genetic confirmation of the pathognomonic t(15;17). Yet, the latter is more time consuming and in some regions unavailable.

Methods

In recent years, deep learning (DL) has been evaluated for medical image recognition showing outstanding capabilities in analyzing large a

SUBMITTER: Eckardt JN 

PROVIDER: S-EPMC8864866 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature