Abstract
Polycystic Ovary Syndrome is a hormonal health problem in women who are in the reproductive period. One feature of this syndrome is that there are 12 or more follicles in the ovary with a diameter of 2-9 mm. This syndrome can cause menstrual cycles problems and even a problem in conceiving a child. Currently, follicle detection is still done manually by Obstetricians and it takes a long time to get accurate result. Therefore, a system that can detect follicles and calculate its size automatically is required. This paper uses Global Basic Threshold and Otsu Threshold method to get the form of follicles in the process of image binarization and follicle segmentation and stereology approach to calculate the number and diameter of the follicle. The result of system testing shows that the system with Global Basic Threshold method and stereology had a sensitivity rate of 86%, a specificity of 15 and a 33% detection size error rate. While using the method Otsu Threshold and stereology showed sensitivity results of 89%, specificity 14 and 35% detection size error rate.
Highlights
Health is one of the human quality factors in which there are many important issues
Polycystic Ovaries (PCOs) follicles detection can be done using the Thresholding method (Otsu Threshold method and the Global Basic Threshold) and stereology based on ultrasonography images
The built system has been very good at detecting PCO follicles, but its performance is still less if used for non-PCO follicles
Summary
Health is one of the human quality factors in which there are many important issues. Health problems that are sensitive enough and can disrupt the integrity of a household is a matter of fertility. PCOS (Polycystic Ovary Syndrome) is a hormone health problem experienced by women in reproductive times where there are small cysts in the ovaries This is caused by the inhibition of the follicle maturation process and disrupts ovulation resulting in accumulation of cystic follicles. In this study using Global Basic Threshold and Otsu Threshold method to get the follicles form in the process of image binarization and image segmentation and stereology approach to calculate the number and diameter of the follicle. The Global Basic Threshold method can select the threshold value in the binary process automatically based on the average of the image intensity, while the Otsu Threshold method uses a good discriminant analysis approach to separate several groups that are joined together. This research builds a polycystic ovary classification system based on ovarian ultrasound image using Rotterdam criterion, that is detecting ovarium having twelve or more follicles 2-9 mm in diameter. Algorithm 2: Threshold Value Determination Using Otsu Threshold Method (Greensted, 2010)
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