Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect
  Removal of Chest CT-Scans and Interpretable Artificial Intelligence   COVID-19 is a virus with high transmission rate that demands rapid
identification of the infected patients to reduce the spread of the disease.
The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction
(RT-PCR), has a high rate of false negatives. Diagnosing from CT-scan images as
a more accurate alternative has the challenge of distinguishing COVID-19 from
other pneumonia diseases. Artificial intelligence can help radiologists and
physicians to accelerate the process of diagnosis, increase its accuracy, and
measure the severity of the disease. We designed a new interpretable deep
neural network to distinguish healthy people, patients with COVID-19, and
patients with other pneumonia diseases from axial lung CT-scan images. Our
model also detects the infected areas and calculates the percentage of the
infected lung volume. We first preprocessed the images to eliminate the batch
effects of different devices, and then adopted a weakly supervised method to
train the model without having any tags for the infected parts. We trained and
evaluated the model on a large dataset of 3359 samples from 6 different medical
centers. The model reached sensitivities of 97.75% and 98.15%, and
specificities of 87% and 81.03% in separating healthy people from the diseased
and COVID-19 from other diseases, respectively. It also demonstrated similar
performance for 1435 samples from 6 different medical centers which proves its
generalizability. The performance of the model on a large diverse dataset, its
generalizability, and interpretability makes it suitable to be used as a
reliable diagnostic system.

10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg