Title
Abnormality Screening: Chest X-ray Interpretation Using Key Points
Document Type
Poster
Publication Date
5-2020
Disciplines
Computer Sciences
Abstract
Deadly pulmonary diseases like tuberculosis, COPD (Chronic Obstructive Pulmonary Disease) and lung cancer are still facing challenges in diagnosis and treatment. Understanding images can definitely help screen Chest X-rays, where abnormality comes into play. Automating chest X-ray screening is crucial, where we do not have resources, such as hospitals and radiologists. In this study, we consider the use of key points that are detected based on the texture changes in the chest X-rays (primarily due to abnormalities e.g. Tuberculosis) and check whether these key points can be considered as a tool for screening them. Our results will be discussed with previously reported works (on benchmark datasets).
First Advisor
Santosh KC
Research Area
Computer Science
Recommended Citation
Sharif, Omar, "Abnormality Screening: Chest X-ray Interpretation Using Key Points" (2020). IdeaFest. 159.
https://red.library.usd.edu/idea/159