Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis
  along with model interpretation using GradCam and class activation maps   Malaria is considered one of the deadliest diseases in today world which
causes thousands of deaths per year. The parasites responsible for malaria are
scientifically known as Plasmodium which infects the red blood cells in human
beings. The parasites are transmitted by a female class of mosquitos known as
Anopheles. The diagnosis of malaria requires identification and manual counting
of parasitized cells by medical practitioners in microscopic blood smears. Due
to the unavailability of resources, its diagnostic accuracy is largely affected
by large scale screening. State of the art Computer-aided diagnostic techniques
based on deep learning algorithms such as CNNs, with end to end feature
extraction and classification, have widely contributed to various image
recognition tasks. In this paper, we evaluate the performance of custom made
convnet Mosquito-Net, to classify the infected and uninfected cells for malaria
diagnosis which could be deployed on the edge and mobile devices owing to its
fewer parameters and less computation power. Therefore, it can be wildly
preferred for diagnosis in remote and countryside areas where there is a lack
of medical facilities.

2
The categories of this paper are: math
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph