Detection of cancerous masses for screening mammography using discrete wavelet transform-based multiresolution Markov random field Academic Article

abstract

• When cancerous masses are embedded in and camouflaged by varying densities of parenchymal tissue structures, they are difficult to visually detect on mammograms. An algorithm based on the discrete wavelet transform and multiresolution Markov random field is presented to single out the suspicious masses to assist the attending radiologist in making decisions.

authors

• Mccord, Gary

published proceedings

• Journal of Digital Imaging

author list (cited authors)

• Zheng, L., Chan, A. K., McCord, G., Wu, S., & Liu, J. S.

citation count

• 10

complete list of authors

• Zheng, Lei||Chan, Andrew K||McCord, Gary||Wu, Steve||Liu, J Steve

publication date

• January 1999

publisher

• Springer Nature  Publisher

published in

• Journal of Digital Imaging  Journal

keywords

• Algorithms
• Biomedical Imaging
• Breast Neoplasms
• Diagnosis, Computer-Assisted
• Female
• Fractals
• Humans
• Image Processing, Computer-Assisted
• Mammography
• Markov Chains
• Mass Screening
• Prevention
• Radiographic Image Enhancement

Digital Object Identifier (DOI)

• 10.1007/bf03168746

start page

• 18

end page

• 23

volume

• 12

issue

• Suppl 1

URL

• http://dx.doi.org/10.1007/bf03168746