@article{923211,
      recid = {923211},
      author = {Bhateja, Vikrant, and Misra, Mukul, and Urooj, Shabana,},
      title = {Non-linear filters for mammogram enhancement : a robust  computer-aided analysis framework for early detection of  breast cancer /},
      pages = {1 online resource (xxviii, 239 pages) :},
      abstract = {This book presents non-linear image enhancement approaches  to mammograms as a robust computer-aided analysis solution  for the early detection of breast cancer, and provides a  compendium of non-linear mammogram enhancement approaches:  from the fundamentals to research challenges, practical  implementations, validation, and advances in applications.  The book includes a comprehensive discussion on breast  cancer, mammography, breast anomalies, and computer-aided  analysis of mammograms. It also addresses fundamental  concepts of mammogram enhancement and associated  challenges, and features a detailed review of various  state-of-the-art approaches to the enhancement of  mammographic images and emerging research gaps. Given its  scope, the book offers a valuable asset for radiologists  and medical experts (oncologists), as mammogram  visualization can enhance the precision of their diagnostic  analyses; and for researchers and engineers, as the  analysis of non-linear filters is one of the most  challenging research domains in image processing.},
      url = {http://library.usi.edu/record/923211},
      doi = {https://doi.org/10.1007/978-981-15-0442-6},
}