Feature detection of mitral valve based on image processing technique: A review

Autor:	Mohd Thariq Zaluwi, Muhammad Haniff S. M. Johan, Nabilah Ibrahim, Lina Farhana Mahadi
Rok vydání:	2019
Předmět:	History medicine.anatomical_structure business.industry Computer science Mitral valve medicine Image processing Computer vision Artificial intelligence business Computer Science Applications Education Feature detection (computer vision)
Zdroj:	Journal of Physics: Conference Series. 1372:012071
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1372/1/012071
Popis:	Mitral valve prolapse is a standout amongst the most common heart conditions, which may influence up to five to 10% of typical populace and a standout amongst the most questionable ones. The advent of computer aided technologies has contributed widely in medical application. This paper discussed on a methodological study on medical image processing to evaluate accurate diagnosis in the field of computer vision. The fundamental of image processing is to enhance the raw images obtain from machine so the useful information can be extracted from it. This paper deals with the application of the image processing on mitral valve images for further research purpose. Ultrasound data taken with subject diagnosed by mitral valve disease is analyse to determine the diameter of the valve. Based on the experiment, the average of mitral valve diameter is 21.82 mm which represent the abnormal length of mitral valve for adult.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6c5fc3aa835026f57de4a9d4752b8bea https://doi.org/10.1088/1742-6596/1372/1/012071 Zobrazit plný text záznamu