Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality

Author(s):  
Sebastian Krappe ◽  
Michaela Benz ◽  
Thomas Wittenberg ◽  
Torsten Haferlach ◽  
Christian Münzenmayer
2021 ◽  
Vol 2058 (1) ◽  
pp. 012043
Author(s):  
V G Nikitayev ◽  
A N Pronichev ◽  
N N Tupitsin ◽  
V Yu Selchuk ◽  
V V Dmitrieva ◽  
...  

Abstract The paper presents approaches to automated classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia and minimal residual disease using image recognition procedures. The classification methods that show the best accuracy in the recognition of eight types of bone marrow cells were experimentally determined. Recommendations for their use are given.


PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0134066 ◽  
Author(s):  
Carolina Reta ◽  
Leopoldo Altamirano ◽  
Jesus A. Gonzalez ◽  
Raquel Diaz-Hernandez ◽  
Hayde Peregrina ◽  
...  

Author(s):  
Weining Wang ◽  
Peirong Guo ◽  
Lemin Li ◽  
Yan Tan ◽  
Hongxia Shi ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0130805 ◽  
Author(s):  
Carolina Reta ◽  
Leopoldo Altamirano ◽  
Jesus A. Gonzalez ◽  
Raquel Diaz-Hernandez ◽  
Hayde Peregrina ◽  
...  

2006 ◽  
Vol 54 (S 1) ◽  
Author(s):  
C Stamm ◽  
YH Choi ◽  
A Liebold ◽  
HD Kleine ◽  
S Dunkelmann ◽  
...  

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