Comparison of algorithms to enhance spicules of spiculated masses on mammography.
We have developed an algorithm for enhancement of spicules of spiculated masses, which uses the discrete radon transform. Previously, we employed a commonly used method to compute the discrete radon transform, which we refer to as the DRT. Recently, a new, more exact method to compute the discrete r...
| Publicado en: | Journal of Digital Imaging Vol. 21; no. 1; pp. 9 - 18 |
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| Autores principales: | , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2008
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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=105908635&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105908635 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Mar2008 vid: 21 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105908635 2009879475 10.1007/s10278-007-9015-x NLM17431720 105908635 ppf: 9 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Comparison of algorithms to enhance spicules of spiculated masses on mammography. aug: au: Sampat MP Whitman GJ Bovik AC Markey MK affil: Department of Biomedical Engineering, ENS 610 The University of Texas at Austin, 1 University Station C0800, Austin, Texas, 78712-1084, USA, mehul.sampat@ieee.org. sug: subj: Breast Neoplasms Diagnosis Diagnosis, Computer Assisted Mammography Algorithms Evaluation Research Funding Source Image Enhancement Image Processing, Computer Assisted Human ab: We have developed an algorithm for enhancement of spicules of spiculated masses, which uses the discrete radon transform. Previously, we employed a commonly used method to compute the discrete radon transform, which we refer to as the DRT. Recently, a new, more exact method to compute the discrete radon transform was developed by Averbuch et al, which is called the fast slant stack (FSS) method. Our hypothesis was that this new formulation would help to improve our enhancement algorithm. To test this idea, we conducted multiple two-alternative-forced-choice observer studies and found that most observers preferred the enhanced images generated with the FSS method. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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