Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning. | Pac Symp Biocomput;28: 395-406, 2023. | MEDLINE

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Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning.

Wooten, Zachary T; Yu, Cenji; Court, Laurence E; Peterson, Christine B.

Affiliation

Wooten ZT; Department of Statistics, Rice University, 6100 Main St., Houston, TX 77005, USA, ztw5@rice.edu.

Pac Symp Biocomput ; 28: 395-406, 2023.

Article in En | MEDLINE | ID: mdl-36540994

Subject(s)

Computational Biology; Radiotherapy Planning, Computer-Assisted; Female; Humans; Radiotherapy Planning, Computer-Assisted/methods

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Full text: 1 Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Computational Biology Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Year: 2023 Type: Article

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Full text: 1 Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Computational Biology Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Year: 2023 Type: Article