[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 …
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 with deep learning in a multicenter and externally validated study
More widespread use of positron emission tomography (PET) imaging is limited by its high
cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically …
cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically …
New PET technologies–embracing progress and pushing the limits
Thanks to companies' research and development processes, frequently involving fruitful
partnerships with academic centres, and what could be acknowledged as welcome …
partnerships with academic centres, and what could be acknowledged as welcome …
Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise
A Mehranian, SD Wollenweber, MD Walker… - European journal of …, 2022 - Springer
Purpose To enhance the image quality of oncology [18F]-FDG PET scans acquired in
shorter times and reconstructed by faster algorithms using deep neural networks. Methods …
shorter times and reconstructed by faster algorithms using deep neural networks. Methods …
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 …
Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning
Purpose The axial field of view (AFOV) of a positron emission tomography (PET) scanner
greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) …
greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) …
[HTML][HTML] Artificial intelligence predicted overall survival and classified mature B-cell neoplasms based on immuno-oncology and immune checkpoint panels
Simple Summary Artificial intelligence (AI) is a field that combines computer science with
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …