Exploring Chest Disease Classification Methods Using X-ray Image Analysis

 

 

The World Health Organization has suffered from the limited diagnosis support systems and limited physicians. Especially in rural areas, almost all cases are handled by a single physician that is time consuming and tiring. Computer added diagnostic systems are being developed to solve this problem. The automated computer added diagnostic tools are of great significance for patient screening. The computer-aided detection based on Chest X-Ray Radiographs (CXR) play an important role in the diagnosis and treatment planning of the patients having lung diseases such as COVID-19, pneumonia etc. This review article presents a brief overview of all the available computer-aided systems to classify chest diseases using X-ray images. This review emphases the most common chest diseases such as Covid-19 and pneumonia along with different deep learning and machine learning techniques as available in the literature. This review paper can be useful for the researchers who are working in these areas for further improvements and advancements in the current technologies.

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Content Details:-

Corresponding author: Jyoti Gupta*

Full Length Article: Exploring Chest Disease Classification Methods UsingX-ray Image Analysis

Journal: Austin Journal of Radiology

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