A review on the detection techniques of polycystic ovary syndrome using machine learning

S Ahmed, MS Rahman, I Jahan, MS Kaiser… - IEEE …, 2023 - ieeexplore.ieee.org
Polycystic Ovary Syndrome (PCOS) is a critical hormonal disorder of women that
significantly impacts life. In this new generation, women are more prone to PCOS. It is the …

Plant leaf disease detection using transfer learning and explainable ai

MHK Mehedi, AKMS Hosain, S Ahmed… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Among the major occupational sectors around the world, agriculture has the highest level of
involvement. Every year, this sector faces a substantial loss in production and profit due to a …

Nutritional management recommendation systems in polycystic ovary syndrome: a systematic review

L Shahmoradi, L Azadbakht, J Farzi, SRN Kalhori… - BMC Women's …, 2024 - Springer
Background People with polycystic ovary syndrome suffer from many symptoms and are at
risk of developing diseases such as hypertension and diabetes in the future. Therefore, the …

[HTML][HTML] An integrated adaptive bilateral filter-based framework and attention residual U-net for detecting polycystic ovary syndrome

P Bedi, SB Goyal, AS Rajawat, M Kumar - Decision Analytics Journal, 2024 - Elsevier
Introduction: PCOS is a global hormonal disorder in women, increasing the risk of certain
cancers. Early diagnosis and treatment can manage it. While metabolic markers are typical …

Follicle prediction for polycystic ovary syndrome diagnosis from ovarian ultrasound images using cnn

S Prasher, L Nelson - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
polycystic ovarian syndrome (PCOS) is the most common hormone related disorder
worldwide. PCOS is caused by numerous tiny fluid-filled sacs called follicles, which are …

Classification of potato disease with digital image processing technique: a hybrid deep learning framework

FTJ Faria, MB Moin, A Al Wase, MR Sani… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Potatoes are among the major vegetables in agricultural regions, and it is farmed and
utilized all over the world. Potatoes are a high-protein food with several health benefits, but …

Polycystic Ovary Syndrome (PCOS) diagnostic methods in machine learning: a systematic literature review

S Arora, Vedpal, N Chauhan - Multimedia Tools and Applications, 2024 - Springer
Abstract Polycystic Ovarian Syndrome, also known as PCOS, is a major hormonal
imbalance affecting women primarily in their reproductive age. Women with PCOS may have …

PCOS-WaveConvNet: A Wavelet Convolutional Neural Network for Polycystic Ovary Syndrome Detection using Ultrasound images

S Tiwari, P Maheshwari - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Women of reproductive age are susceptible to polycystic ovarian syndrome (PCOS), a
hormonal condition. Multiple small follicles or cysts on the ovaries are one of the symptoms …

Demystifying Hypothyroidism Detection with Extreme Gradient Boosting and Explainable AI

AKMS Hosain, MGR Alam - 2022 25th International Conference …, 2022 - ieeexplore.ieee.org
Hypothyroidism is a prevalent disease of thyroid glands in human. Thyroid is an endocrine
gland in vertebrates known to control physiological metabolism by producing few specific …

Machine learning for diagnosis of polycystic ovarian syndrome (PCOS/PCOD)

V Srinithi, R Rekha - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
A medical illness called polycystic ovary syndrome (PCOS) affects hormones and affects
women who are in their childbearing age. A monthly cycle that is delayed or even missing is …