Contrast enhancement in dense breast images to aid clustered microcalcifications detection.
This paper presents a method to provide contrast enhancement in dense breast digitized images, which are difficult cases in testing of computer-aided diagnosis (CAD) schemes. Three techniques were developed, and data from each method were combined to provide a better result in relation to detection...
| Publicado en: | Journal of Digital Imaging Vol. 20; no. 1; pp. 53 - 67 |
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| Autores principales: | , , |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2007
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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=106154286&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106154286 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Mar2007 vid: 20 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 106154286 2009568328 10.1007/s10278-005-6976-5 NLM16820957 106154286 ppf: 53 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Contrast enhancement in dense breast images to aid clustered microcalcifications detection. aug: au: Nunes FLS Schiabel H Goes CE affil: Programa de Pós-Graduaçao em Ciência da Computaçao, Centro Universitário Eurípides de Marília, Av. Hygino Muzzi Filho, 529-Campus Universitário, 17525-901, Marília, SP, Brazil. sug: subj: Breast Radiography Diagnosis, Computer Assisted Image Processing, Computer Assisted Methods Radiography, Computed Breast Anatomy and Histology Calcinosis Contrast Media False Negative Results False Positive Results Mammography ROC Curve ab: This paper presents a method to provide contrast enhancement in dense breast digitized images, which are difficult cases in testing of computer-aided diagnosis (CAD) schemes. Three techniques were developed, and data from each method were combined to provide a better result in relation to detection of clustered microcalcifications. Results obtained during the tests indicated that, by combining all the developed techniques, it is possible to improve the performance of a processing scheme designed to detect microcalcification clusters. It also allows operators to distinguish some of these structures in low-contrast images, which were not detected via conventional processing before the contrast enhancement. This investigation shows the possibility of improving CAD schemes for better detection of microcalcifications in dense breast images. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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