PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Gaussian Smoothing
K-Means Clustering
Connected Component Analysis
Decision Tree Classifier
Abstract
Polycystic ovaries cause infertility in women because the development of follicles is inhibited, resulting in a large number of follicles (PCO). PCO identification is still done by a gynecologist manually, counting the number and size of follicles in the ovaries, which takes a long time and requires a high level of precision. PCO can be discovered in general by calculating stereology or extracting and classifying features. PCOS is detected in this study using a follicle count extracted from ultra sound images using the K-Means clustering technique. A decision tree classifier with greater than 90% accuracy is used to perform the classification.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kishan S | Vidyavardhaka College of Engineering |
| 2 | Ganesh S | Vidyavardhaka College of Engineering |
| 3 | H S Nagabharan | Vidyavardhaka College of Engineering |
| 4 | Dhanush V D Upadya | Vidyavardhaka College of Engineering |
| 5 | Radhika A D | Vidyavardhaka College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Kishan, S, Ganesh, Nagabharan, H S, Upadya, Dhanush V D, & D, Radhika A (2022). PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 4278-4282.
MLA Style
S, Kishan, et al. "PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 4278-4282.
IEEE Style
Kishan S, Ganesh S, H S Nagabharan, Dhanush V D Upadya, and Radhika A D, "PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 4278-4282, 2022.
Vancouver Style
S Kishan, S Ganesh, Nagabharan H S, Upadya Dhanush V D, D Radhika A. PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):4278-4282.
Harvard Style
S, Kishan, S, Ganesh, Nagabharan, H S, Upadya, Dhanush V D, & D, Radhika A (2022) 'PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 4278-4282.
Chicago Style
S, Kishan, et al. "PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4278-4282.
Turabian Style
S, Kishan, et al. "PROTOCOL OF AUTOMATED POLYCYSTIC OVARY SYNDROME(PCOS) DIAGNOSIS USING FOLLICLE RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4278-4282.
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