Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients
Recently introduced long-axial field-of-view (LAFOV) PET/CT systems represent one of the
most significant advancements in nuclear medicine since the advent of multi-modality …
most significant advancements in nuclear medicine since the advent of multi-modality …
Image denoising in the deep learning era
S Izadi, D Sutton, G Hamarneh - Artificial Intelligence Review, 2023 - Springer
Over the last decade, the number of digital images captured per day has increased
exponentially, due to the accessibility of imaging devices. The visual quality of photographs …
exponentially, due to the accessibility of imaging devices. The visual quality of photographs …
Big data analytics on lung cancer diagnosis framework with deep learning
P Guan, K Yu, W Wei, YL Tan… - IEEE/ACM transactions on …, 2023 - ieeexplore.ieee.org
As the segment of diseased tissue in PET images is time-consuming, laborious and low
accuracy, this work proposes an automated framework for PET image screening, denoising …
accuracy, this work proposes an automated framework for PET image screening, denoising …
A deep neural network for parametric image reconstruction on a large axial field-of-view PET
Purpose The PET scanners with long axial field of view (AFOV) having~ 20 times higher
sensitivity than conventional scanners provide new opportunities for enhanced parametric …
sensitivity than conventional scanners provide new opportunities for enhanced parametric …
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Positron emission tomography/computed tomography (PET/CT) is increasingly used in
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
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) …
List-mode PET image reconstruction using deep image prior
List-mode positron emission tomography (PET) image reconstruction is an important tool for
PET scanners with many lines-of-response and additional information such as time-of-flight …
PET scanners with many lines-of-response and additional information such as time-of-flight …
Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review
AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …
major functions in This review paper presents a comprehensive overview of end-to-end …
[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
The integration of positron emission tomography (PET) and single-photon emission
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …