Abstract
Image processing techniques have been used in a wide variety of applications nowadays to enhance the quality of raw image data. Today, image segmentation or detection of x-tray medical imaging is very popular and challenges task in order to improve the diagnosis and analysis result. An x-ray image is one of the oldest photographic films that is mostly used in medical diagnosis and treatment. An x-ray image is a very useful modality for the physicians and doctors to determine and analyze the bone fracture, which is an important symptom used for diagnosis, but x-ray produces an only medium quality image, which will normally affect the information of the image. This article provides a review study of the medical image segmentation. Based on this study, the advantages and drawback each method clearly explained. This article presents an exhaustive review of these studies and suggests a direction for future developments in order to propose segmentation methods.
Cite
CITATION STYLE
Mustafa, W. A., Salleh, N. M., Idrus, S. Z. S., Jamlos, M. A., & Rohani, M. N. K. H. (2020). Overview of Segmentation X-Ray Medical Images Using Image Processing Technique. In Journal of Physics: Conference Series (Vol. 1529). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1529/4/042017
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