Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration
Sign Up to like & getrecommendations! Published in 2019 at "JAMA Ophthalmology"
DOI: 10.1001/jamaophthalmol.2018.6156
Abstract: Importance Deep learning (DL) used for discriminative tasks in ophthalmology, such as diagnosing diabetic retinopathy or age-related macular degeneration (AMD), requires large image data sets graded by human experts to train deep convolutional neural networks… read more here.
Keywords: data sets; real synthetic; retinal specialists; synthetic images ... See more keywords
A Dataset of Real and Synthetic Speech in Ukrainian
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-05084-8
Abstract: This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support research in the field of natural language processing and speech… read more here.
Keywords: synthetic speech; dataset; real synthetic; speech ... See more keywords
Method for Enhancing AI Accuracy in Pressure Injury Detection Using Real and Synthetic Datasets
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14209396
Abstract: Pressure injuries pose significant health risks, especially for the elderly, immobile individuals, and those with sensory impairments. These injuries can rapidly become chronic, making initial diagnosis important. Due to the difficulty of transporting patients from… read more here.
Keywords: real synthetic; using real; accuracy; pressure injury ... See more keywords