Fully Automated, Semantic Segmentation of Whole-Body 18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

We introduce multiple-organ objective segmentation (MOOSE) software that generates subject-specific, multiorgan segmentation using data-centric artificial intelligence principles to facilitate high-throughput systemic investigations of the human body via whole-body PET imaging. Methods: Image data f...

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Podrobná bibliografia

Vydané v:	The Journal of nuclear medicine (1978) Ročník 63; číslo 12; s. 1941
Hlavní autori:	Shiyam Sundar, Lalith Kumar, Yu, Josef, Muzik, Otto, Kulterer, Oana C, Fueger, Barbara, Kifjak, Daria, Nakuz, Thomas, Shin, Hyung Min, Sima, Annika Katharina, Kitzmantl, Daniela, Badawi, Ramsey D, Nardo, Lorenzo, Cherry, Simon R, Spencer, Benjamin A, Hacker, Marcus, Beyer, Thomas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	01.12.2022
ISSN:	1535-5667, 1535-5667
On-line prístup:	Zistit podrobnosti o prístupe
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