… Here, C R and C G resemble the copy number of the … the reference plasmids (C R ), we
used the following formula: … correlation for monocytes (r = 0.60) and lymphocytes (r = 0.61) was …

… This removes the need for a second stage employed by the more complex architectures
Faster R-CNN [9] and Mask R-CNN [10]. RetinaNet’s network architecture uses a Feature …

Compared to the analysis of blood cells in microscope images of peripheral blood, bone
marrow images are much more challenging for automated cell classification: not only are the …

Bone marrow biopsy (BMB) is a well-established diagnostic tool for various hematological,
oncological, and other medical conditions. However, treatment options for geriatric patients (…

… We describe the R package svars which implements statistical identification techniques that
… provide a detailed description of the associated R functions. Furthermore, a macroeconomic …

… This analysis compares the three detection networks Mask R-CNN, RetinaNet, and Yolo v3
as well as U-Net based detection and the RetinaNet with circular anchors (Circular RetinaNet…

A patient with AML with normal karyotype and the cytological pattern of cup‐like blasts (CLB)
is reported. The typical morphology on Pappenheim stained blood smears is shown. In …

Performance and robustness of neural networks depend on a suitable choice of hyper-parameters,
which is important in research as well as for the final deployment of deep learning …

Deep neural networks are well suited to address medical problems such as the automated
analysis of leukocytes in bone marrow images. However, their training requires large …

… To determine the copy number of the reference plasmids (C R ) we used the following formula:
Embedded Image where m R is the added reference amount (eg 0.011 ng of LSM14B), N …