Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.
| Publicado en: | European Radiology Vol. 30; no. 12; pp. 6902 - 6913 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2020
|
| 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=146734460&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146734460 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2020 vid: 30 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 146734460 144537226 10.1007/s00330-020-07062-7 146734460 ppf: 6902 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration. aug: au: Hwang, Eui Jin Kim, Hyungjin Lee, Jong Hyuk Goo, Jin Mo Park, Chang Min affil: Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080, Seoul, South Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|