Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients.

Weisman, Amy J; Kim, Jihyun; Lee, Inki; McCarten, Kathleen M; Kessel, Sandy; Schwartz, Cindy L; Kelly, Kara M; Jeraj, Robert; Cho, Steve Y; Bradshaw, Tyler J

Weisman, Amy J; Kim, Jihyun; Lee, Inki; McCarten, Kathleen M; Kessel, Sandy; Schwartz, Cindy L; Kelly, Kara M; Jeraj, Robert; Cho, Steve Y; Bradshaw, Tyler J.

Afiliación

Weisman AJ; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Kim J; Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Lee I; Department of Nuclear Medicine Korea Cancer Centre Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, Korea.
McCarten KM; IROC-Rhode Island, Lincoln, RI, USA.
Kessel S; IROC-Rhode Island, Lincoln, RI, USA.
Schwartz CL; Medical College of Wisconsin, Milwaukee, WI, USA.
Kelly KM; Department of Pediatrics, Roswell Park Comprehensive Cancer Center, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Jeraj R; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Cho SY; Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Bradshaw TJ; University of Wisconsin Carbone Comprehensive Cancer Center, Madison, WI, USA.

EJNMMI Phys ; 7(1): 76, 2020 Dec 14.

Article en En | MEDLINE | ID: mdl-33315178

Palabras clave

Convolutional neural networks; Imaging biomarkers; PET; Pediatric lymphoma

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: EJNMMI Phys Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos