X Li, M Li, P Yan, G Li, Y Jiang, H Luo… - International Journal of …, 2023 - sciltp.com
With the improvement of hardware computing power and the development of deep learning algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models have generated realistic images from textual input, as …
Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of medicine, understanding the potential uses of generative AI in health care becomes …
Medical image synthesis represents a critical area of research in clinical decision-making, aiming to overcome the challenges associated with acquiring multiple image modalities for …
Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models in particular have generated realistic images from textual …
R Kumar, Arjunaditya, D Singh, K Srinivasan, YC Hu - Healthcare, 2022 - mdpi.com
Blockchain technology has been growing at a substantial growth rate over the last decade. Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …
In recent years, considerable work has been conducted on the development of synthetic medical images, but there are no satisfactory methods for evaluating their medical suitability …
TH Cheung, DY Yeung - IEEE transactions on neural networks …, 2023 - ieeexplore.ieee.org
Data augmentation is an effective way to improve the generalization of deep learning models. However, the underlying augmentation methods mainly rely on handcrafted …
In recent years, researchers designed several artificial intelligence solutions for healthcare applications, which usually evolved into functional solutions for clinical practice …