Online Mammographic Images Database for Development and Comparison of CAD Schemes.
Considering the difficulties in finding good-quality images for the development and test of computer-aided diagnosis (CAD), this paper presents a public online mammographic images database free for all interested viewers and aimed to help develop and evaluate CAD schemes. The digitalization of the m...
| Publicado en: | Journal of Digital Imaging Vol. 24; no. 3; pp. 500 - 507 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2011
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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=104894850&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104894850 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2011 vid: 24 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104894850 60502977 10.1007/s10278-010-9297-2 NLM20480383 104894850 ppf: 500 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Online Mammographic Images Database for Development and Comparison of CAD Schemes. aug: au: Matheus, Bruno Roberto Schiabel, Homero affil: Depto. Eng. Electrica - EESC, Universidade de São Paulo, Av. Trabalhador São-carlense, 400 São Carlos 13566-590 Brazil sug: subj: Mammography Image Retrieval Systems Diagnosis, Computer Assisted Database Construction Systems Design Image Retrieval ab: Considering the difficulties in finding good-quality images for the development and test of computer-aided diagnosis (CAD), this paper presents a public online mammographic images database free for all interested viewers and aimed to help develop and evaluate CAD schemes. The digitalization of the mammographic images is made with suitable contrast and spatial resolution for processing purposes. The broad recuperation system allows the user to search for different images, exams, or patient characteristics. Comparison with other databases currently available has shown that the presented database has a sufficient number of images, is of high quality, and is the only one to include a functional search system. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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