Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model.
| Publicado en: | European Radiology Vol. 33; no. 6; pp. 4237 - 4249 |
|---|---|
| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2023
|
| 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=163727598&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163727598 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2023 vid: 33 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163727598 160613043 10.1007/s00330-022-09289-y 163727598 ppf: 4237 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model. aug: au: Li, Jie Li, Sudong Li, Xiaoli Miao, Sheng Dong, Cheng Gao, Chuanping Liu, Xuejun Hao, Dapeng Xu, Wenjian Huang, Mingqian Cui, Jiufa affil: Department of Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, 266003, Qingdao, Shandong, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|