Diagnostic value of machine learning-based computed tomography texture analysis for differentiating multiple myeloma from osteolytic metastatic bone lesions in the peripheral skeleton.
| Publicado en: | Skeletal Radiology Vol. 52; no. 9; pp. 1703 - 1712 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2023
|
| 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=164948032&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164948032 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: Sep2023 vid: 52 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 164948032 162892553 10.1007/s00256-023-04333-4 164948032 ppf: 1703 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Diagnostic value of machine learning-based computed tomography texture analysis for differentiating multiple myeloma from osteolytic metastatic bone lesions in the peripheral skeleton. aug: au: Özgül, Hakan Abdullah Akin, Işıl Başara Mutlu, Uygar Balci, Ali affil: Department of Radiology, Kemalpaşa State Hospital, Kırovası Küme Street, 35730, Izmir, Kemalpaşa, Turkey sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|