A multi-label CNN model for the automatic detection and segmentation of gliomas using [18F]FET PET imaging
M Rahimpour, R Boellaard, S Jentjens… - European journal of …, 2023 - Springer
Purpose The aim of this study was to develop a convolutional neural network (CNN) for the
automatic detection and segmentation of gliomas using [18F] fluoroethyl-L-tyrosine ([18F] …
automatic detection and segmentation of gliomas using [18F] fluoroethyl-L-tyrosine ([18F] …
A multi-label CNN model for the automatic detection and segmentation of gliomas using [18F] FET PET imaging
M Rahimpour, R Boellaard… - European …, 2023 - researchinformation.amsterdamumc …
Purpose: The aim of this study was to develop a convolutional neural network (CNN) for the
automatic detection and segmentation of gliomas using [18F] fluoroethyl-L-tyrosine ([18F] …
automatic detection and segmentation of gliomas using [18F] fluoroethyl-L-tyrosine ([18F] …
A multi-label CNN model for the automatic detection and segmentation of gliomas using [18F] FET PET imaging
M Rahimpour, R Boellaard… - … journal of nuclear …, 2023 - pubmed.ncbi.nlm.nih.gov
Purpose The aim of this study was to develop a convolutional neural network (CNN) for the
automatic detection and segmentation of gliomas using [18 F] fluoroethyl-L-tyrosine ([18 F] …
automatic detection and segmentation of gliomas using [18 F] fluoroethyl-L-tyrosine ([18 F] …
A multi-label CNN model for the automatic detection and segmentation of gliomas using [F]FET PET imaging
M Rahimpour, M Koole, R Boellaard… - European Journal of …, 2023 - inis.iaea.org
[en] The aim of this study was to develop a convolutional neural network (CNN) for the
automatic detection and segmentation of gliomas using [18 F] fluoroethyl-L-tyrosine ([18 F] …
automatic detection and segmentation of gliomas using [18 F] fluoroethyl-L-tyrosine ([18 F] …
A multi-label CNN model for the automatic detection and segmentation of gliomas using [18F]FET PET imaging.
M Rahimpour, R Boellaard, S Jentjens… - European Journal of …, 2023 - europepmc.org
Purpose The aim of this study was to develop a convolutional neural network (CNN) for the
automatic detection and segmentation of gliomas using [18 F] fluoroethyl-L-tyrosine ([18 F] …
automatic detection and segmentation of gliomas using [18 F] fluoroethyl-L-tyrosine ([18 F] …
A multi-label CNN model for the automatic detection and segmentation of gliomas using [F-18] FET PET imaging
M Rahimpour, R Boellaard, S Jentjens… - European Journal Of …, 2023 - lirias.kuleuven.be
PURPOSE: The aim of this study was to develop a convolutional neural network (CNN) for
the automatic detection and segmentation of gliomas using [18F] fluoroethyl-L-tyrosine …
the automatic detection and segmentation of gliomas using [18F] fluoroethyl-L-tyrosine …