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Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
Application of deep learning models for automated identification of Parkinson's disease: A review (2011–2021)
Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …
over 6 million people globally. Although there are symptomatic treatments that can increase …
Employing deep learning and transfer learning for accurate brain tumor detection
SK Mathivanan, S Sonaimuthu, S Murugesan… - Scientific Reports, 2024 - nature.com
Artificial intelligence-powered deep learning methods are being used to diagnose brain
tumors with high accuracy, owing to their ability to process large amounts of data. Magnetic …
tumors with high accuracy, owing to their ability to process large amounts of data. Magnetic …
A deep learning-based framework for automatic brain tumors classification using transfer learning
Brain tumors are the most destructive disease, leading to a very short life expectancy in their
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
A deep learning model based on concatenation approach for the diagnosis of brain tumor
Brain tumor is a deadly disease and its classification is a challenging task for radiologists
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …
[HTML][HTML] An effective approach to detect and identify brain tumors using transfer learning
Brain tumors are considered one of the most serious, prominent and life-threatening
diseases globally. Brain tumors cause thousands of deaths every year around the globe …
diseases globally. Brain tumors cause thousands of deaths every year around the globe …
Efficient deep learning approach for augmented detection of Coronavirus disease
The new Coronavirus disease 2019 (COVID-19) is rapidly affecting the world population
with statistics quickly falling out of date. Due to the limited availability of annotated …
with statistics quickly falling out of date. Due to the limited availability of annotated …
Big data analytics for preventive medicine
Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …
can healthcare providers use modern data analytics tools and technologies to analyze and …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …
Effectiveness of federated learning and CNN ensemble architectures for identifying brain tumors using MRI images
Medical institutions often revoke data access due to the privacy concern of patients.
Federated Learning (FL) is a collaborative learning paradigm that can generate an unbiased …
Federated Learning (FL) is a collaborative learning paradigm that can generate an unbiased …