Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.
| Publicado en: | European Radiology Vol. 34; no. 10; pp. 6320 - 6332 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2024
|
| 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=179636543&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179636543 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Oct2024 vid: 34 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179636543 176403446 10.1007/s00330-024-10718-3 179636543 ppf: 6320 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations. aug: au: Kim, Hee Jeong Kim, Hak Hee Kim, Ki Hwan Lee, Ji Sung Choi, Woo Jung Chae, Eun Young Shin, Hee Jung Cha, Joo Hee Shim, Woo Hyun affil: Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, 05505, Seoul, South Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|