Identification of Polycystic Ovary Syndrome in ultrasound images of Ovaries using Distinct Threshold based Image Segmentation-Reference-Cited by-同舟云学术

Identification of Polycystic Ovary Syndrome in ultrasound images of Ovaries using Distinct Threshold based Image Segmentation

Published:2023-05-05 Issue: Volume: Page:
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Container-title:2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Poorani B¹,Khilar Rashmita²

Affiliation:

1. SIMATS University,Saveetha School of Engineering,Department of Computer Science Engineering,Thandalam,chennai

2. SIMATS University,Saveetha School of Engineering,Department of Information Technology,Thandalam,chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10141668/10141583/10141800.pdf?arnumber=10141800

Reference27 articles.

1. Study and detection of PCOS related diseases using CNN

2. Medical Image Processing: Detection and Prediction of PCOS – A Systematic Literature Review

3. Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence

4. Follicles Classification to Detect Polycystic Ovary Syndrome Using Glcm and Novel Hybrid Machine Learning;nilofer;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021

5. Automated Polycystic Ovarian Syndrome Identification with Follicle Recognition

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