Architecture Model for Semantic Classification of Chest X-Ray Images Using Machine Learning Algorithm

The increment of digital images captured through multiple computerized medical facilities has been an attraction for the researcher in the field of image processing. Even though there are number of system for medical images, it is still lack in term of supporting image analysis at low cost. Currently digital medical images, specifically chest x-ray (CXR) are classified manually by radiologists where it is labor intensive, repetitive and requires a highly trained experts. Therefore misclassifications can be occurred because it can be influenced by human subjectivity or tiredness and other reasons such as to experimental condition and variable image quality. Thus this research aims to have a reference database that represents the meaning or semantic of digital images so the classification is done by computerized program. This paper will discuss the related work in related field and proposing a approach to carry out the whole research. The model will be used in the next phase of research.