AI-based detection of lung lesions in [<sup>18</sup>F]FDG PET-CT from lung cancer patients.

Borrelli, Pablo; Ly, John; Kaboteh, Reza; Ulén, Johannes; Enqvist, Olof; Trägårdh, Elin; Edenbrandt, Lars

AI-based detection of lung lesions in [¹⁸F]FDG PET-CT from lung cancer patients.

Borrelli, Pablo; Ly, John; Kaboteh, Reza; Ulén, Johannes; Enqvist, Olof; Trägårdh, Elin; Edenbrandt, Lars.

Afiliação

Borrelli P; Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Ly J; Department of Radiology, Kristianstad Hospital, Kristianstad, Sweden. john.ly@med.lu.se.
Kaboteh R; Department of Translational Medicine and Wallenberg Center for Molecular Medicine, Lund University, Malmö, Sweden. john.ly@med.lu.se.
Ulén J; Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Enqvist O; Eigenvision AB, Malmö, Sweden.
Trägårdh E; Eigenvision AB, Malmö, Sweden.
Edenbrandt L; Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

EJNMMI Phys ; 8(1): 32, 2021 Mar 25.

Article em En | MEDLINE | ID: mdl-33768311

Palavras-chave

AI; Automatic; FDG; Lung cancer; PET-CT; Segmentation; Total lesion glycolysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline Idioma: En Revista: EJNMMI Phys Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia

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