Can Persistent Homology Features Capture More Intrinsic Information about Tumors from <sup>18</sup>F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Images of Head and Neck Cancer Patients?

Le, Quoc Cuong; Arimura, Hidetaka; Ninomiya, Kenta; Kodama, Takumi; Moriyama, Tetsuhiro

Can Persistent Homology Features Capture More Intrinsic Information about Tumors from ¹⁸F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Images of Head and Neck Cancer Patients?

Le, Quoc Cuong; Arimura, Hidetaka; Ninomiya, Kenta; Kodama, Takumi; Moriyama, Tetsuhiro.

Afiliación

Le QC; Ho Chi Minh City Oncology Hospital, Ho Chi Minh City 700000, Vietnam.
Arimura H; Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka City 812-8582, Japan.
Ninomiya K; Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, San Diego, CA 92037, USA.
Kodama T; Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka City 812-8582, Japan.
Moriyama T; Institute of Mathematics for Industry, Kyushu University, Fukuoka City 819-0395, Japan.

Metabolites ; 12(10)2022 Oct 14.

Article en En | MEDLINE | ID: mdl-36295874

Palabras clave

head and neck cancer; persistent homology; prognostic prediction; radiomics

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Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies Idioma: En Revista: Metabolites Año: 2022 Tipo del documento: Article País de afiliación: Vietnam

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