PET/CT in non-Hodgkin lymphoma: an update
L Zanoni, D Bezzi, C Nanni, A Paccagnella… - Seminars in nuclear …, 2023 - Elsevier
Non-Hodgkin lymphomas represents a heterogeneous group of lymphoproliferative
disorders characterized by different clinical courses, varying from indolent to highly …
disorders characterized by different clinical courses, varying from indolent to highly …
Clinical application of AI-based PET images in oncological patients
J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …
A whole-body FDG-PET/CT dataset with manually annotated tumor lesions
We describe a publicly available dataset of annotated Positron Emission Tomography/
Computed Tomography (PET/CT) studies. 1014 whole body Fluorodeoxyglucose (FDG) …
Computed Tomography (PET/CT) studies. 1014 whole body Fluorodeoxyglucose (FDG) …
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
Background In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning
N Capobianco, L Sibille, M Chantadisai… - European journal of …, 2022 - Springer
Abstract Purpose In PSMA-ligand PET/CT imaging, standardized evaluation frameworks and
image-derived parameters are increasingly used to support prostate cancer staging. Clinical …
image-derived parameters are increasingly used to support prostate cancer staging. Clinical …
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
An automatic evidential segmentation method based on Dempster-Shafer theory and deep
learning is proposed to segment lymphomas from three-dimensional Positron Emission …
learning is proposed to segment lymphomas from three-dimensional Positron Emission …
18F-FDG PET maximum-intensity projections and artificial intelligence: a win-win combination to easily measure prognostic biomarkers in DLBCL patients
Total metabolic tumor volume (TMTV) and tumor dissemination (Dmax) calculated from
baseline 18F-FDG PET/CT images are prognostic biomarkers in diffuse large B-cell …
baseline 18F-FDG PET/CT images are prognostic biomarkers in diffuse large B-cell …
TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images—a multi-center generalizability analysis
Purpose Total metabolic tumor volume (TMTV) segmentation has significant value enabling
quantitative imaging biomarkers for lymphoma management. In this work, we tackle the …
quantitative imaging biomarkers for lymphoma management. In this work, we tackle the …
An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients
MC Ferrández, SSV Golla, JJ Eertink, BM de Vries… - Scientific reports, 2023 - nature.com
Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-
cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN …
cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN …
[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 …