Study and detection of PCOS related diseases using CNN-Reference-Cited by-同舟云学术

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Study and detection of PCOS related diseases using CNN

Published:2021-02-23 Issue: Volume:1070 Page:012062
ISSN:1757-899X
Container-title:IOP Conference Series: Materials Science and Engineering
language:
Short-container-title:IOP Conf. Ser.: Mater. Sci. Eng.

Author:

Sumathi M,Chitra P,Sakthi Prabha R,Srilatha K

Publisher

IOP Publishing

Subject

General Medicine

Link

https://iopscience.iop.org/article/10.1088/1757-899X/1070/1/012062/pdf

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive machine learning framework with particle swarm optimization for improved polycystic ovary syndrome (PCOS) diagnosis;Engineering Research Express;2024-09-01

2. F-Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using deep learning techniques;PLOS ONE;2024-08-15

3. Speckle Noise Removal From Biomedical MRI Images and Classification by MSVM;Advances in Medical Diagnosis, Treatment, and Care;2024-06-30

4. Polycystic Ovary Syndrome (PCOS) diagnostic methods in machine learning: a systematic literature review;Multimedia Tools and Applications;2024-06-27

5. Unveiling the Role of Artificial Intelligence (AI) in Polycystic Ovary Syndrome (PCOS) Diagnosis: A Comprehensive Review;Reproductive Sciences;2024-06-21

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