Follicle Detection of Polycystic Ovarian Syndrome (Pcos) Using Yolo-Reference-Cited by-同舟云学术

Follicle Detection of Polycystic Ovarian Syndrome (Pcos) Using Yolo

Published:2023-03-17 Issue: Volume: Page:
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Container-title:2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Mahajan Kirti¹,Mane Pallavi¹

Affiliation:

1. Bharati Vidyapeeth (Deemed to be University),Institute of Management and Entrepreneurship Development (IMED),Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112821.pdf?arnumber=10112821

Reference14 articles.

1. A Review on Computer Assisted Follicle Detection Techniques and Polycystic Ovarian Syndrome (PCOS) Diagnostic Systems

2. Polycystic Ovary Syndrome

3. Correlation of Artificial Neural Network Classification and NFRS Attribute Filtering Algorithm For Pcos Data;meena;International Journal of Research in Engineering and Technology,2015

4. Applications of Artificial Intelligence Techniques in Polycystic ovarian syndrome Diagnosis;deepika;Journal of Advanced Research in Technology and Management Sciences,2019

5. Image Segmentation for detecting Polycystic Ovarian Disease using Deep Neural Networks

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