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Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules.
Salihoglu, Yavuz Sami; Uslu Erdemir, Rabiye; Aydur Püren, Büsra; Özdemir, Semra; Uyulan, Çaglar; Ergüzel, Türker Tekin; Tekin, Hüseyin Ozan.
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  • Salihoglu YS; Çanakkale Onsekiz Mart University Faculty of Medicine, Department of Nuclear Medicine, Çanakkale, Turkey.
  • Uslu Erdemir R; Zonguldak Bülent Ecevit University Faculty of Medicine, Department of Nuclear Medicine, Zonguldak, Turkey.
  • Aydur Püren B; Çanakkale Onsekiz Mart University Faculty of Medicine, Department of Nuclear Medicine, Çanakkale, Turkey.
  • Özdemir S; Çanakkale Onsekiz Mart University Faculty of Medicine, Department of Nuclear Medicine, Çanakkale, Turkey.
  • Uyulan Ç; Izmir Katip Çelebi University Faculty of Engineering and Architecture, Department of Mechanical Engineering, Izmir, Turkey.
  • Ergüzel TT; Üsküdar University Faculty of Natural Sciences, Department of Software Engineering, Istanbul, Turkey.
  • Tekin HO; University of Sharjah, College of Health Sciences, Department of Medical Diagnostic Imaging, Sharjah, United Arab Emirates.
Mol Imaging Radionucl Ther ; 31(2): 82-88, 2022 Jun 27.
Article en En | MEDLINE | ID: mdl-35770958
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Mol Imaging Radionucl Ther Año: 2022 Tipo del documento: Article País de afiliación: Turquía
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Mol Imaging Radionucl Ther Año: 2022 Tipo del documento: Article País de afiliación: Turquía