[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …
advancement has been initiated and shaped by the applications of data-driven, robust, and …
Federated learning: Applications, challenges and future directions
Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …
efforts of several clients to solve the issues of machine learning. This setting allows the …
[HTML][HTML] Detection of polycystic ovarian syndrome using follicle recognition technique
B Rachana, T Priyanka, KN Sahana… - Global Transitions …, 2021 - Elsevier
Polycystic ovary syndrome is a disorder involving prolonged menstrual cycle, and often
excess androgen level normally occurs in several women at the time of their reproductive …
excess androgen level normally occurs in several women at the time of their reproductive …
SPOSDS: A smart Polycystic Ovary Syndrome diagnostic system using machine learning
Abstract Polycystic Ovary Syndrome (PCOS) is a hormonal disorder that affects a large
percentage of women of reproductive age. PCOS causes imbalanced or delayed menstrual …
percentage of women of reproductive age. PCOS causes imbalanced or delayed menstrual …
A distinctive explainable machine learning framework for detection of polycystic ovary syndrome
Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by
biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the …
biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the …
Medical imaging with deep learning for COVID-19 diagnosis: a comprehensive review
The outbreak of novel coronavirus disease (COVID-19) has claimed millions of lives and has
affected all aspects of human life. This paper focuses on the application of deep learning …
affected all aspects of human life. This paper focuses on the application of deep learning …
Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique
Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in
reproductive women that causes persistent hormonal secretion disruption, leading to the …
reproductive women that causes persistent hormonal secretion disruption, leading to the …
Diagnosis of polycystic ovary syndrome through different machine learning and feature selection techniques
Polycystic ovary syndrome (PCOS) has been determined as one of the serious health
problems among women which affects women's fertility and leads to crucial health …
problems among women which affects women's fertility and leads to crucial health …
Explainable artificial intelligence (XAI) with IoHT for smart healthcare: A review
Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly
contentious topic. AI-powered systems may be superior at certain analytical tasks, but their …
contentious topic. AI-powered systems may be superior at certain analytical tasks, but their …
A deep learning fusion approach to diagnosis the polycystic ovary syndrome (pcos)
One of the leading causes of female infertility is PCOS, which is a hormonal disorder
affecting women of childbearing age. The common symptoms of PCOS include increased …
affecting women of childbearing age. The common symptoms of PCOS include increased …