Screening COVID-19 Based on CT/CXR Images Building a Publicly Available CT-scan Dataset of COVID-19

by   Maryam Dialameh, et al.

The rapid outbreak of COVID-19 threatens humans life all around the world. Due to insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick diagnostic tool is of great importance. As chest radiography, such as chest X-ray (CXR) and CT computed tomography (CT), is a possible way for screening COVID-19, developing an automatic image classification tool is immensely helpful for detecting the patients with COVID-19. To date, researchers have proposed several different screening methods; however, none of them could achieve a reliable and highly sensitive performance yet. The main drawbacks of current methods are the lack of having enough training data, low generalization performance, and a high rate of false-positive detection. To tackle such limitations, this study firstly builds a large-size publicly available CT-scan dataset, consisting of more than 13k CT-images of more than 1000 individuals, in which 8k images are taken from 500 patients infected with COVID-19. Secondly, we propose a deep learning model for screening COVID-19 using our proposed CT dataset and report the baseline results. Finally, we extend the proposed CT model for screening COVID-19 from CXR images using a transfer learning approach. The experimental results show that the proposed CT and CXR methods achieve the AUC scores of 0.886 and 0.984 respectively.



There are no comments yet.


page 4

page 5

page 6

page 9

page 10

page 11

page 12


COVID-CT-Dataset: A CT Scan Dataset about COVID-19

CT scans are promising in providing accurate, fast, and cheap screening ...

Few-shot Learning for CT Scan based COVID-19 Diagnosis

Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of Inte...

Intra-model Variability in COVID-19 Classification Using Chest X-ray Images

X-ray and computed tomography (CT) scanning technologies for COVID-19 sc...

Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning

Background and Objective: The Acetabular version, an essential factor in...

Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans

A long-standing challenge of deep learning models involves how to handle...

Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms

COVID-19 (also known as 2019 Novel Coronavirus) first emerged in Wuhan, ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.