Noise-robust attention-guided deep learning for automated five-class knee osteoarthritis grading from radiographs.
| Publicado en: | Egyptian Journal of Radiology & Nuclear Medicine Vol. 57; no. 1; pp. 1 - 11 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
8/17/2026
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| 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=196240214&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196240214 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0378603X BE8E jtl: Egyptian Journal of Radiology & Nuclear Medicine issn: 0378603X maglogo: N pubinfo: dt: 8/17/2026 vid: 57 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 196240214 196240214 196240214 10.1186/s43055-026-01837-6 196240214 ppf: 1 ppct: 10 formats: tig: atl: Noise-robust attention-guided deep learning for automated five-class knee osteoarthritis grading from radiographs. aug: au: Shundi, Michael Joseph Pullagura, Rajesh Kumar Karri, Chiranjeevi affil: https://ror.org/049skhf47 Department of Electronics and Communications Engineering, AUCE(A), Andhra University, Visakhapatnam, India sug: subj: Osteoarthritis, Knee Pathology Osteoarthritis, Knee Radiography Image Processing, Computer Assisted Automation Deep Learning Evaluation Validity Human Validation Studies Descriptive Statistics ROC Curve Radiographic Image Enhancement pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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