Automatic lesion detection and segmentation in 18F-flutemetamol positron emission tomography images using deep learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1475-925X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Automatic lesion detection and segmentation in 18F-flutemetamol positron emission tomography images using deep learning ; volume:21 ; number:1 ; day:20 ; month:12 ; year:2022 ; pages:1-14 ; date:12.2022
Biomedical engineering online ; 21, Heft 1 (20.12.2022), 1-14, 12.2022

Creator: Ryu, Chan Ju

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12938-022-01058-8

URN: urn:nbn:de:101:1-2023030221154822891370

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Ryu, Chan Ju
SpringerLink (Online service)

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Automatic lesion detection and segmentation in 18F-flutemetamol positron emission tomography images using deep learning

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