Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms.
This paper presents a review of recent advances in the development of methods for segmentation of the breast boundary and the pectoral muscle in mammograms. Regardless of improvement of imaging technology, accurate segmentation of the breast boundary and detection of the pectoral muscle are still ch...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 7; pp. 1003 - 1025 |
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| Autores principales: | , , , |
| Formato: | review Journal Article |
| Publicado: |
Springer Nature
Jul2016
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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=116194404&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116194404 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2016 vid: 54 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 116194404 116194404 NLM26546074 116194404 10.1007/s11517-015-1411-7 NLM26546074 116194404 ppf: 1003 ppct: 22 formats: fmt: @attributes: type: P tig: atl: Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms. aug: au: Mustra, Mario Grgic, Mislav Rangayyan, Rangaraj Rangayyan, Rangaraj M affil: Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb Croatia sug: subj: Radiographic Image Interpretation, Computer-Assisted Methods Breast Pectoralis Muscles Mammography Methods Female Algorithms Scales Female ab: This paper presents a review of recent advances in the development of methods for segmentation of the breast boundary and the pectoral muscle in mammograms. Regardless of improvement of imaging technology, accurate segmentation of the breast boundary and detection of the pectoral muscle are still challenging tasks for image processing algorithms. In this paper, we discuss problems related to mammographic image preprocessing and accurate segmentation. We review specific methods that were commonly used in most of the techniques proposed for segmentation of mammograms and discuss their advantages and disadvantages. Comparative analysis of the methods reported on is made difficult by variations in the datasets and procedures of evaluation used by the authors. We attempt to overcome some of these limitations by trying to compare methods which used the same dataset and have some similarities in approaches to the breast boundary segmentation and detection of the pectoral muscle. In this paper, we will address the most often used methods for segmentation such as thresholding, morphology, region growing, active contours, and wavelet filtering. These methods, or their combinations, are the ones most used in the last decade by the majority of work published in this image processing domain. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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