Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies

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Published in:Computerized medical imaging and graphics 2017-09, Vol.60, p.3-10
Main Authors: Bi, Lei, Kim, Jinman, Kumar, Ashnil, Wen, Lingfeng, Feng, Dagan, Fulham, Michael
Format: Article
Language:English
Subjects:
Abnormalities
Accuracy
Adolescent
Adult
Aged
Aged, 80 and over
Artificial neural networks
Bladder
Brain
Classification
CNN
Computed tomography
Emission analysis
Excretion
Experiments
Feature extraction
Female
Fluorodeoxyglucose F18 - metabolism
Fragmentation
Fragments
Humans
Identification methods
Image classification
Image detection
Internal Medicine
Kidneys
Lesions
Localization
Lymphoma
Lymphoma - diagnostic imaging
Lymphoma - metabolism
Machine Learning
Male
Medical imaging
Middle Aged
Multiscale analysis
Neural networks
Other
PET-CT
Positron emission
Positron emission tomography
Positron Emission Tomography Computed Tomography
Radiopharmaceuticals - metabolism
Thresholding
Young Adult
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creator Bi, Lei
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doi_str_mv 10.1016/j.compmedimag.2016.11.008
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source ScienceDirect Freedom Collection 2022-2024
subjects Abnormalities
Accuracy
Adolescent
Adult
Aged
Aged, 80 and over
Artificial neural networks
Bladder
Brain
Classification
CNN
Computed tomography
Emission analysis
Excretion
Experiments
Feature extraction
Female
Fluorodeoxyglucose F18 - metabolism
Fragmentation
Fragments
Humans
Identification methods
Image classification
Image detection
Internal Medicine
Kidneys
Lesions
Localization
Lymphoma
Lymphoma - diagnostic imaging
Lymphoma - metabolism
Machine Learning
Male
Medical imaging
Middle Aged
Multiscale analysis
Neural networks
Other
PET-CT
Positron emission
Positron emission tomography
Positron Emission Tomography Computed Tomography
Radiopharmaceuticals - metabolism
Thresholding
Young Adult
title Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies
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