2023
DOI: 10.33140/croa.01.01.06
|View full text |Cite
|
Sign up to set email alerts
|

Deep Transfer Learning for Detecting Covid-19, Pneumonia and Tuberculosis Using Cxr Images – A Review

Abstract: Chest X-rays remains to be the most common imaging modality used to diagnose lung diseases. However, they necessitate the interpretation of experts (radiologists and pulmonologists), who are few. This review paper investigates the use of deep transfer learning techniques to detect COVID-19, pneumonia, and tuberculosis in chest X-ray (CXR) images. It provides an overview of current state-of the-art CXR image classification techniques and discusses the challenges and opportunities in applying transfer learning t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 49 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?