High-quality image data is essential for training deep learning (DL) classifiers, yet data sharing is often limited by privacy concerns. We hypothesized that generative adversarial networks (GANs) could synthesize bone marrow smear (BMS) images…
Continue Reading
Generating realistic synthetic health data (e.g., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards. Generative Adversarial Networks (GANs) have been employed for this purpose, but their…
Continue Reading
Age-related macular degeneration (AMD) is the leading cause of central vision impairment among the elderly. Effective and accurate AMD screening tools are urgently needed. Indocyanine green angiography (ICGA) is a well-established technique for detecting…
Continue Reading
The following is a guest article by Mariia Kovalova, Healthcare Technology Researcher at Itransition
Medical imaging is crucial for various medical applications, serving diagnostic and treatment purposes. According to Grand View Research, the medical image…
