A review of medical image data augmentation techniques for deep learning applications
Research in artificial intelligence for radiology and radiotherapy has recently become
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Image processing plays a crucial role in maximising diagnostic quality of positron emission
tomography (PET) images. Recently, deep learning methods developed across many fields …
tomography (PET) images. Recently, deep learning methods developed across many fields …
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis
Positron emission tomography (PET) is a typical nuclear imaging technique, which can
provide crucial functional information for early brain disease diagnosis. Generally, clinically …
provide crucial functional information for early brain disease diagnosis. Generally, clinically …
PET image denoising based on denoising diffusion probabilistic model
Purpose Due to various physical degradation factors and limited counts received, PET
image quality needs further improvements. The denoising diffusion probabilistic model …
image quality needs further improvements. The denoising diffusion probabilistic model …
Artificial intelligence-based image enhancement in pet imaging: Noise reduction and resolution enhancement
PET is a noninvasive molecular imaging modality that is increasingly popular in oncology,
neurology, cardiology, and other fields. 1–3 Accurate quantitation of PET radiotracer uptake …
neurology, cardiology, and other fields. 1–3 Accurate quantitation of PET radiotracer uptake …
Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models
Purpose To provide a holistic and complete comparison of the five most advanced AI models
in the augmentation of low-dose 18F-FDG PET data over the entire dose reduction …
in the augmentation of low-dose 18F-FDG PET data over the entire dose reduction …
Spach Transformer: Spatial and channel-wise transformer based on local and global self-attentions for PET image denoising
Position emission tomography (PET) is widely used in clinics and research due to its
quantitative merits and high sensitivity, but suffers from low signal-to-noise ratio (SNR) …
quantitative merits and high sensitivity, but suffers from low signal-to-noise ratio (SNR) …
Anatomical-guided attention enhances unsupervised PET image denoising performance
Although supervised convolutional neural networks (CNNs) often outperform conventional
alternatives for denoising positron emission tomography (PET) images, they require many …
alternatives for denoising positron emission tomography (PET) images, they require many …
[HTML][HTML] Applications of artificial intelligence in nuclear medicine image generation
Z Cheng, J Wen, G Huang, J Yan - Quantitative Imaging in …, 2021 - ncbi.nlm.nih.gov
Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear
medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging …
medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging …
Deep learning-based PET image denoising and reconstruction: a review
This review focuses on positron emission tomography (PET) imaging algorithms and traces
the evolution of PET image reconstruction methods. First, we provide an overview of …
the evolution of PET image reconstruction methods. First, we provide an overview of …