[HTML][HTML] Synthetic data generation methods in healthcare: A review on open-source tools and methods
Synthetic data generation has emerged as a promising solution to overcome the challenges
which are posed by data scarcity and privacy concerns, as well as, to address the need for …
which are posed by data scarcity and privacy concerns, as well as, to address the need for …
A systematic literature review on machine learning and deep learning-based covid-19 detection frameworks using X-ray Images
S Maheswari, S Suresh, SA Ali - Applied Soft Computing, 2024 - Elsevier
Coronavirus is an endangered disease to kills more than millions of people, but it has also
put tremendous pressure on the whole medical system. The initial stage of identification of …
put tremendous pressure on the whole medical system. The initial stage of identification of …
HER2GAN: Overcome the scarcity of HER2 breast cancer dataset based on transfer learning and GAN model
Introduction Immunohistochemistry (IHC) is crucial for breast cancer diagnosis,
classification, and individualized treatment. IHC is used to measure the levels of expression …
classification, and individualized treatment. IHC is used to measure the levels of expression …
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
This paper presents a comprehensive systematic review of generative models (GANs, VAEs,
DMs, and LLMs) used to synthesize various medical data types, including imaging …
DMs, and LLMs) used to synthesize various medical data types, including imaging …
Auditory-GAN: deep learning framework for improved auditory spatial attention detection
Recent advances in auditory attention detection from multichannel electroencephalography
(EEG) signals encounter the challenges of the scarcity of available online EEG data and the …
(EEG) signals encounter the challenges of the scarcity of available online EEG data and the …
Graph Based COVID-19 Detection Using Conditional Generative Adversarial Network
Coronavirus (SARS-CoV-2) is a novel global pandemic, which requires rapid and accurate
identification techniques to curb its spread. COVID-19, the disease induced by the virus …
identification techniques to curb its spread. COVID-19, the disease induced by the virus …
Investigating the impact of novel XRayGAN in feature extraction for thoracic disease detection in chest radiographs: lung cancer
Lung cancer remains one of the most lethal malignancies worldwide, underscoring the
urgent need for early detection and intervention to improve survival rates. While computed …
urgent need for early detection and intervention to improve survival rates. While computed …
An intelligent generative adversarial network multistage lung cancer detection and subtypes classification
M Aharonu, LK Ramasamy - … Journal of Machine Learning and Cybernetics, 2024 - Springer
Cancer remains a leading cause of global mortality, with lung cancer having the highest
mortality rate. Early detection through Computed Tomography (CT) imaging is essential for …
mortality rate. Early detection through Computed Tomography (CT) imaging is essential for …
Data science in healthcare monitoring under covid-19 detection by extended hybrid leader-based compressed neural network
Abstract The Severe Acute Respiratory Syndrome CoronoVirus2 (SARS-CoV-2) causes the
infectious illness Covid-19 (Corona Virus Disease of 2019). The majority of virus-infected …
infectious illness Covid-19 (Corona Virus Disease of 2019). The majority of virus-infected …
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
This study tackles key obstacles in adopting surgical navigation in orthopedic surgeries,
including time, cost, radiation, and workflow integration challenges. Recently, our work …
including time, cost, radiation, and workflow integration challenges. Recently, our work …