Literature DB >> 1868696

Automated detection of breast tumors using the asymmetry approach.

T K Lau1, W F Bischof.   

Abstract

A method for automated detection of breast tumors in mammograms is presented. The method uses the asymmetry principle: Strong structural asymmetries between corresponding regions in the left and right breast are taken as evidence for the possible presence of a tumor in that region. Asymmetry detection is achieved in two steps. First, mammograms are aligned, compensating for possible differences in size and shape between the two breasts. Second, asymmetry between corresponding positions is determined using a combination of several asymmetry measures, each responding to different types of asymmetries. Results obtained with a set of mammograms indicate that this method can improve the sensitivity and reliability of systems for automated detection of breast tumors.

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Year:  1991        PMID: 1868696     DOI: 10.1016/0010-4809(91)90049-3

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  5 in total

1.  Identification of the breast boundary in mammograms using active contour models.

Authors:  R J Ferrari; R M Rangayyan; J E L Desautels; R A Borges; A F Frère
Journal:  Med Biol Eng Comput       Date:  2004-03       Impact factor: 2.602

2.  Computer-aided detection of breast masses on full field digital mammograms.

Authors:  Jun Wei; Berkman Sahiner; Lubomir M Hadjiiski; Heang-Ping Chan; Nicholas Petrick; Mark A Helvie; Marilyn A Roubidoux; Jun Ge; Chuan Zhou
Journal:  Med Phys       Date:  2005-09       Impact factor: 4.071

Review 3.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

Review 4.  Computer-assisted reading of mammograms.

Authors:  N Karssemeijer; J H Hendriks
Journal:  Eur Radiol       Date:  1997       Impact factor: 5.315

Review 5.  Breast image registration techniques: a survey.

Authors:  Yujun Guo; Radhika Sivaramakrishna; Cheng-Chang Lu; Jasjit S Suri; Swamy Laxminarayan
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

  5 in total

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