Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
A review on medical imaging synthesis using deep learning and its clinical applications
This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …
clinical application. Specifically, we summarized the recent developments of deep learning …
Medical image analysis based on deep learning approach
M Puttagunta, S Ravi - Multimedia tools and applications, 2021 - Springer
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
A review of deep learning based methods for medical image multi-organ segmentation
Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …
performance in many medical image segmentation tasks. Many deep learning-based …
[HTML][HTML] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
Despite the potential of deep learning (DL)-based methods in substituting CT-based PET
attenuation and scatter correction for CT-free PET imaging, a critical bottleneck is their …
attenuation and scatter correction for CT-free PET imaging, a critical bottleneck is their …
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 …
A review on AI in PET imaging
K Matsubara, M Ibaraki, M Nemoto, H Watabe… - Annals of Nuclear …, 2022 - Springer
Artificial intelligence (AI) has been applied to various medical imaging tasks, such as
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …
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 …
Quantitative molecular positron emission tomography imaging using advanced deep learning techniques
The widespread availability of high-performance computing and the popularity of artificial
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …