Diagnostic accuracy of convolutional neural network algorithms to distinguish gastrointestinal obstruction on conventional radiographs in a pediatric population.
| Publicado en: | Diagnostic & Interventional Radiology Vol. 32; no. 2; pp. 233 - 242 |
|---|---|
| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Mar2026
|
| 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=192017923&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192017923 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: Mar2026 vid: 32 iid: 2 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 192017923 10.4274/dir.2025.242950 192017923 ppf: 233 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Diagnostic accuracy of convolutional neural network algorithms to distinguish gastrointestinal obstruction on conventional radiographs in a pediatric population. aug: au: Ayaz, Ercan Güçlü, Hasan Oktay, Ayşe Betül affil: Diyarbakır Children's Hospital, Radiology Clinic, Diyarbakır sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|