Analysis of the impact of digital watermarking on computer-aided diagnosis in medical imaging.
Medical images (MI) are relevant sources of information for detecting and diagnosing a large number of illnesses and abnormalities. Due to their importance, this study is focused on breast ultrasound (BUS), which is the main adjunct for mammography to detect common breast lesions among women worldwi...
| Publicado en: | Computers in Biology & Medicine Vol. 68; pp. 37 - 49 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
1/1/2016
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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=115381125&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115381125 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00104825 JC2 jtl: Computers in Biology & Medicine issn: 00104825 maglogo: N pubinfo: dt: 1/1/2016 vid: 68 pid: 82545 pub: Elsevier B.V. place: Philadelphia, Pennsylvania artinfo: ui: 115381125 115381125 NLM26609802 115381125 10.1016/j.compbiomed.2015.10.014 NLM26609802 115381125 ppf: 37 ppct: 12 formats: tig: atl: Analysis of the impact of digital watermarking on computer-aided diagnosis in medical imaging. aug: au: Garcia-Hernandez, Jose Juan Gomez-Flores, Wilfrido Rubio-Loyola, Javier affil: Technology Information Laboratory, Center for Research and Advanced Studies of the National Polytechnic Institute, Ciudad Victoria, Tamaulipas, Mexico sug: subj: Image Processing, Computer Assisted Methods Algorithms Ultrasonography Methods Breast Pathology Image Interpretation, Computer Assisted Methods Female Human Female ab: Medical images (MI) are relevant sources of information for detecting and diagnosing a large number of illnesses and abnormalities. Due to their importance, this study is focused on breast ultrasound (BUS), which is the main adjunct for mammography to detect common breast lesions among women worldwide. On the other hand, aiming to enhance data security, image fidelity, authenticity, and content verification in e-health environments, MI watermarking has been widely used, whose main goal is to embed patient meta-data into MI so that the resulting image keeps its original quality. In this sense, this paper deals with the comparison of two watermarking approaches, namely spread spectrum based on the discrete cosine transform (SS-DCT) and the high-capacity data-hiding (HCDH) algorithm, so that the watermarked BUS images are guaranteed to be adequate for a computer-aided diagnosis (CADx) system, whose two principal outcomes are lesion segmentation and classification. Experimental results show that HCDH algorithm is highly recommended for watermarking medical images, maintaining the image quality and without introducing distortion into the output of CADx. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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