Characterization of PET/CT images using texture analysis: the past, the present… any future?
After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …
images for quantification of intratumour uptake heterogeneity has received increasing …
Radiomics in nuclear medicine applied to radiation therapy: methods, pitfalls, and challenges
Radiomics is a recent area of research in precision medicine and is based on the extraction
of a large variety of features from medical images. In the field of radiation oncology …
of a large variety of features from medical images. In the field of radiation oncology …
Co-learning feature fusion maps from PET-CT images of lung cancer
The analysis of multi-modality positron emission tomography and computed tomography
(PET-CT) images for computer-aided diagnosis applications (eg, detection and …
(PET-CT) images for computer-aided diagnosis applications (eg, detection and …
Impact of image reconstruction settings on texture features in 18F-FDG PET
J Yan, JL Chu-Shern, HY Loi, LK Khor… - Journal of nuclear …, 2015 - Soc Nuclear Med
Evaluation of tumor heterogeneity based on texture parameters has recently attracted much
interest in the PET imaging community. However, the impact of reconstruction settings on …
interest in the PET imaging community. However, the impact of reconstruction settings on …
Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma
We developed multi-modality radiomic models by integrating information extracted from 18 F-
FDG PET and CT images using feature-and image-level fusions, toward improved prognosis …
FDG PET and CT images using feature-and image-level fusions, toward improved prognosis …
Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer
To characterize intra-tumor heterogeneity comprehensively, we propose a multi-level fusion
strategy to combine PET and CT information at the image-, matrix-and feature-levels towards …
strategy to combine PET and CT information at the image-, matrix-and feature-levels towards …
3D fully convolutional networks for co-segmentation of tumors on PET-CT images
Positron emission tomography and computed tomography (PET-CT) dual-modality imaging
provides critical diagnostic information in modern cancer diagnosis and therapy. Automated …
provides critical diagnostic information in modern cancer diagnosis and therapy. Automated …
Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks
Purpose To investigate the use and efficiency of 3‐D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual‐modality nonsmall cell …
networks (DFCN) for simultaneous tumor cosegmentation on dual‐modality nonsmall cell …
Metabolic tumor volume metrics in lymphoma
L Kostakoglu, S Chauvie - Seminars in nuclear medicine, 2018 - Elsevier
Although visual assessment using the Deauville criteria is strongly recommended by
guidelines for treatment response monitoring in all FDG-avid lymphoma histologies, the high …
guidelines for treatment response monitoring in all FDG-avid lymphoma histologies, the high …
Radiomics in oncological PET/CT: clinical applications
JW Lee, SM Lee - Nuclear medicine and molecular imaging, 2018 - Springer
Abstract 18 F–fluorodeoxyglucose (FDG) positron emission tomography/computed
tomography (PET/CT) is widely used for staging, evaluating treatment response, and …
tomography (PET/CT) is widely used for staging, evaluating treatment response, and …