Literature DB >> 9507406

A mobile automated mammography system.

E Micheli-Tzanakou1, M T Cooley.   

Abstract

Automated processing of mammograms has been studied for several years. Until the last few years much of the efforts have produced marginal results due to the limitations of inexpensive hardware. Even with the advanced hardware no one has yet taken an entire mammogram and determined whether it is normal or abnormal. We outline a method here to attempt to do just that.

Mesh:

Year:  1997        PMID: 9507406     DOI: 10.1023/a:1022872608853

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Mammographic feature enhancement by multiscale analysis.

Authors:  A F Laine; S Schuler; J Fan; W Huda
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

2.  A modular neural network approach to fault diagnosis.

Authors:  C Rodriguez; S Rementeria; J I Martin; A Lafuente; J Muguerza; J Perez
Journal:  IEEE Trans Neural Netw       Date:  1996

3.  Digital mammography: M-channel quadrature mirror filters (QMFs) for microcalcification extraction.

Authors:  W Qian; L P Clarke; H D Li; R Clark; M L Silbiger
Journal:  Comput Med Imaging Graph       Date:  1994 Sep-Oct       Impact factor: 4.790

  3 in total

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