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[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds
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 …
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …
Quo vadis artificial intelligence?
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …
engineers for over 65 years. The simple contention is that human-created machines can do …
[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges
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 …
medicine, understanding the potential uses of generative AI in health care becomes …
Denoising diffusion probabilistic models for 3D medical image generation
Recent advances in computer vision have shown promising results in image generation.
Diffusion probabilistic models have generated realistic images from textual input, as …
Diffusion probabilistic models have generated realistic images from textual input, as …
[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
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 …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
Evaluating synthetic medical images using artificial intelligence with the GAN algorithm
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 …
medical images, but there are no satisfactory methods for evaluating their medical suitability …
AI-powered blockchain technology for public health: a contemporary review, open challenges, and future research directions
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 …
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
Abstract Since US President Barack Obama announced the Precision Medicine Initiative in
his New Year's State of the Union address in 2015, the establishment of a precision …
his New Year's State of the Union address in 2015, the establishment of a precision …
A survey of automated data augmentation for image classification: Learning to compose, mix, and generate
Data augmentation is an effective way to improve the generalization of deep learning
models. However, the underlying augmentation methods mainly rely on handcrafted …
models. However, the underlying augmentation methods mainly rely on handcrafted …