An overview of artificial intelligence in oncology
Cancer is associated with significant morbimortality globally. Advances in screening,
diagnosis, management and survivorship were substantial in the last decades, however …
diagnosis, management and survivorship were substantial in the last decades, however …
Clinical applications of artificial intelligence in radiology
C Mello-Thoms, CAB Mello - The British Journal of Radiology, 2023 - academic.oup.com
The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …
scenario, artificial intelligence (AI) has become an attractive partner, one that may …
Nuclear medicine and artificial intelligence: best practices for algorithm development
The nuclear medicine field has seen a rapid expansion of academic and commercial interest
in develo** artificial intelligence (AI) algorithms. Users and developers can avoid some of …
in develo** artificial intelligence (AI) algorithms. Users and developers can avoid some of …
PET molecular imaging: a holistic review of current practice and emerging perspectives for diagnosis, therapeutic evaluation and prognosis in clinical oncology
V Duclos, A Iep, L Gomez, L Goldfarb… - International journal of …, 2021 - mdpi.com
PET/CT molecular imaging has been imposed in clinical oncological practice over the past
20 years, driven by its two well-grounded foundations: quantification and radiolabeled …
20 years, driven by its two well-grounded foundations: quantification and radiolabeled …
Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise
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 …
Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains
We aim to synthesize brain time‐of‐flight (TOF) PET images/sinograms from their
corresponding non‐TOF information in the image space (IS) and sinogram space (SS) to …
corresponding non‐TOF information in the image space (IS) and sinogram space (SS) to …
Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT
Purpose We investigated whether artificial intelligence (AI)-based denoising halves PET
acquisition time in digital PET/CT. Methods One hundred ninety-five patients referred for …
acquisition time in digital PET/CT. Methods One hundred ninety-five patients referred for …
Advances in PET/CT technology: an update
This article reviews the current evolution and future directions in PET/CT technology
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …
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 …