Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance.
| Publicado en: | Strahlentherapie und Onkologie Vol. 199; no. 5; pp. 498 - 511 |
|---|---|
| Autores principales: | , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2023
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163335301&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163335301 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01797158 NZE jtl: Strahlentherapie und Onkologie issn: 01797158 maglogo: N pubinfo: dt: May2023 vid: 199 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163335301 162750172 10.1007/s00066-023-02076-8 163335301 ppf: 498 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance. aug: au: Huang, Ying Pi, Yifei Ma, Kui Miao, Xiaojuan Fu, Sichao Chen, Hua Wang, Hao Gu, Hengle Shao, Yan Duan, Yanhua Feng, Aihui Zhuo, Weihai Xu, Zhiyong affil: Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, 200030, Shanghai, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|