..

நுரையீரல் நோய்கள் மற்றும் சிகிச்சை இதழ்

ஐ.எஸ்.எஸ்.என்: 2472-1018

திறந்த அணுகல்
கையெழுத்துப் பிரதியை சமர்ப்பிக்கவும் arrow_forward arrow_forward ..

தொகுதி 9, பிரச்சினை 3 (2023)

கட்டுரையை பரிசீலி

Deep Transfer Learning for Detecting COVID-19, Pneumonia and Tuberculosis using CXR Images: A Review

Irad Mwendo*, Patrick Gikunda and Anthony Maina

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 to this domain. The paper provides a thorough examination of recent research studies that used deep transfer learning algorithms for COVID-19, pneumonia and tuberculosis detection, highlighting the advantages and disadvantages of these approaches. Finally, the review paper discusses future research directions in the field of deep transfer learning for CXR image classification, as well as the potential for these techniques to aid in the diagnosis and treatment of lung diseases.

குறியிடப்பட்டது

arrow_upward arrow_upward