Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer.

Pakela, Julia M; Matuszak, Martha M; Ten Haken, Randall K; McShan, Daniel L; El Naqa, Issam

Pakela, Julia M; Matuszak, Martha M; Ten Haken, Randall K; McShan, Daniel L; El Naqa, Issam.

Affiliation

Pakela JM; Applied Physics Program, University of Michigan, Ann Arbor, MI, United States of America.
Matuszak MM; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States of America.
Ten Haken RK; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States of America.
McShan DL; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States of America.
El Naqa I; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States of America.

Phys Med Biol ; 66(22)2021 11 09.

Article de En | MEDLINE | ID: mdl-34587597

Sujet(s)
Mots clés

Markov process; adaptive radiotherapy; deep learning; head and neck cancer; quantum computing

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Apprentissage profond / Tumeurs de la tête et du cou Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Phys Med Biol Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

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