Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification.
| Published in: | European Radiology Vol. 33; no. 3; pp. 1844 - 1852 |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Mar2023
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161963582&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161963582 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2023 vid: 33 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 161963582 159841122 10.1007/s00330-022-09165-9 161963582 ppf: 1844 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification. aug: au: Jungmann, Friederike Ziegelmayer, Sebastian Lohoefer, Fabian K. Metz, Stephan Müller-Leisse, Christina Englmaier, Maximilian Makowski, Marcus R. Kaissis, Georgios A. Braren, Rickmer F. affil: Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, 81675, Munich, Germany sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|