Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion.

Teo, P Troy; Bajaj, Amishi; Randall, James; Lou, Bin; Shah, Jainil; Gopalakrishnan, Mahesh; Kamen, Ali; Abazeed, Mohamed E

Teo, P Troy; Bajaj, Amishi; Randall, James; Lou, Bin; Shah, Jainil; Gopalakrishnan, Mahesh; Kamen, Ali; Abazeed, Mohamed E.

Afiliação

Teo PT; Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Bajaj A; Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Randall J; Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Lou B; Digital Technology and Innovation Division, Siemens Healthineers, Princeton, New Jersey, USA.
Shah J; Diagnostic Imaging Computed Tomography, Siemens Healthineers, Malvern, Pennsylvania, USA.
Gopalakrishnan M; Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.
Kamen A; Digital Technology and Innovation Division, Siemens Healthineers, Princeton, New Jersey, USA.
Abazeed ME; Department of Radiation Oncology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA.

Med Phys ; 49(11): 7347-7356, 2022 Nov.

Article em En | MEDLINE | ID: mdl-35962958

Assuntos

Aprendizado Profundo; Neoplasias Pulmonares; Humanos; Neoplasias Pulmonares/diagnóstico por imagem; Neoplasias Pulmonares/radioterapia

Palavras-chave

iGray; neural network; personalized medicine; precision medicine; radiomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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