Computer-aided detection in oncologic imaging: screening mammography as a case study.
Accuracy of the imaging report is dependent on the observational and interpretive skills of the radiologist, which varies between observers. Over the past several decades, research programs have focused on the use of computer algorithms to address both the perception and the interpretation aspects o...
| Publicado en: | Cancer Journal Vol. 8; no. 2; pp. 93 - 100 |
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| Autores principales: | , |
| Formato: | case study diagnostic images pictorial tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Mar/Apr2002
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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=106729328&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106729328 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15289117 4U5 jtl: Cancer Journal issn: 15289117 maglogo: N pubinfo: dt: Mar/Apr2002 vid: 8 iid: 2 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 106729328 NLM11999953 2004062349 10.1097/00130404-200203000-00003 NLM11999953 106729328 ppf: 93 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computer-aided detection in oncologic imaging: screening mammography as a case study. aug: au: Castellino RA Castellino, Ronald A affil: R2 Technology, Sunnyvale, California 94087, USA sug: subj: Breast Neoplasms Radiography Diagnosis, Computer Assisted Image Interpretation, Computer Assisted Trends Mammography Trends False Negative Results Female Predictive Value of Tests Female ab: Accuracy of the imaging report is dependent on the observational and interpretive skills of the radiologist, which varies between observers. Over the past several decades, research programs have focused on the use of computer algorithms to address both the perception and the interpretation aspects of diagnostic imaging. Computer-based technology that analyzes images in order to detect features of disease is called computer-aided detection (CAD). This paper reviews the current status of CAD as used with screening mammography. pubtype: Academic Journal doctype: case study diagnostic images pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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