CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions.
| Publicado en: | PLoS Digital Health Vol. 4; no. 7; pp. 1 - 20 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Public Library of Science
7/8/2025
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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=186466353&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186466353 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 27673170 MP8B jtl: PLoS Digital Health issn: 27673170 maglogo: N pubinfo: dt: 7/8/2025 vid: 4 iid: 7 pid: 16707 pub: Public Library of Science place: San Francisco, California artinfo: ui: 186466353 186466353 186466353 10.1371/journal.pdig.0000669 186466353 ppf: 1 ppct: 19 formats: tig: atl: CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions. aug: au: Hallström, Erik Fatsis-Kavalopoulos, Nikos Bimpis, Manos Wählby, Carolina Hast, Anders Andersson, Dan I. affil: Department of Information Technology, Uppsala University, Uppsala, Sweden sug: subj: Antibiotics Drug Resistance, Microbial Image Processing, Computer Assisted Deep Learning Microbial Culture and Sensitivity Tests Human Smartphone Software Automation Information Science Reproducibility of Results Instrument Validation Diagnosis, Laboratory Data Quality pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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