Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network

In the diagnosis of neurodegenerative disorders, F-18 fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET/CT) is used for its ability to detect functional changes at early stages of disease process. However, anatomical information from another modality (CT or MRI) is s...

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Veröffentlicht in:	Journal of digital imaging 2020-08, Vol.33 (4), p.816-825
Hauptverfasser:	Oh, Kyeong Taek, Lee, Sangwon, Lee, Haeun, Yun, Mijin, Yoo, Sun K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Aged, 80 and over Computed tomography Deep learning Female Fluorine isotopes Fluorodeoxyglucose F18 Generative adversarial networks Humans Image processing Image segmentation Imaging Information processing Magnetic resonance imaging Male Medicine Medicine & Public Health Middle Aged Neurodegenerative diseases Original Paper Positron emission Positron emission tomography Positron Emission Tomography Computed Tomography Radioactive tracers Radioisotopes Radiology Reproducibility of Results Semantic segmentation Semantics Spatial discrimination Spatial resolution Substantia alba Teaching methods Tomography White Matter - diagnostic imaging
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