Deep learning algorithm enables automated Cobb angle measurements with high accuracy.
| Published in: | Skeletal Radiology Vol. 54; no. 7; pp. 1469 - 1479 |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jul2025
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185156281&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185156281 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: Jul2025 vid: 54 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 185156281 181698156 10.1007/s00256-024-04853-7 185156281 ppf: 1469 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning algorithm enables automated Cobb angle measurements with high accuracy. aug: au: Hayashi, Daichi Regnard, Nor-eddine Ventre, Jeanne Marty, Vincent Clovis, Lauryane Lim, Ludovic Nitche, Nicolas Zhang, Zekun Tournier, Antoine Ducarouge, Alexis Kompel, Andrew J. Tannoury, Chadi Guermazi, Ali affil: https://ror.org/05qwgg493 Department of Radiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|