Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automated screening of sickle cells using a smartphone-based microscope
  and deep learning   Sickle cell disease (SCD) is a major public health priority throughout much
of the world, affecting millions of people. In many regions, particularly those
in resource-limited settings, SCD is not consistently diagnosed. In Africa,
where the majority of SCD patients reside, more than 50% of the 0.2-0.3 million
children born with SCD each year will die from it; many of these deaths are in
fact preventable with correct diagnosis and treatment. Here we present a deep
learning framework which can perform automatic screening of sickle cells in
blood smears using a smartphone microscope. This framework uses two distinct,
complementary deep neural networks. The first neural network enhances and
standardizes the blood smear images captured by the smartphone microscope,
spatially and spectrally matching the image quality of a laboratory-grade
benchtop microscope. The second network acts on the output of the first image
enhancement neural network and is used to perform the semantic segmentation
between healthy and sickle cells within a blood smear. These segmented images
are then used to rapidly determine the SCD diagnosis per patient. We blindly
tested this mobile sickle cell detection method using blood smears from 96
unique patients (including 32 SCD patients) that were imaged by our smartphone
microscope, and achieved ~98% accuracy, with an area-under-the-curve (AUC) of
0.998. With its high accuracy, this mobile and cost-effective method has the
potential to be used as a screening tool for SCD and other blood cell disorders
in resource-limited settings.

1
The categories of this paper are: cs
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn