Literature DB >> 12760557

Integrated wavelets for enhancement of microcalcifications in digital mammography.

Peter Heinlein1, Johann Drexl, Wilfried Schneider.   

Abstract

This paper presents a new algorithm for enhancement of microcalcifications in mammograms. The main novelty is the application of techniques we have developed for construction of filterbanks derived from the continuous wavelet transform. These discrete wavelet decompositions, called integrated wavelets, are optimally designed for enhancement of multiscale structures in images. Furthermore, we use a model based approach to refine existing methods for general enhancement of mammograms resulting in a more specific enhancement of microcalcifications. We present results of our method and compare them with known algorithms. Finally, we want to indicate how these techniques can also be applied to the detection of microcalcifications. Our algorithm was positively evaluated in a clinical study. It has been implemented in a mammography workstation designed for soft-copy reading of digital mammograms developed by IMAGETOOL, Germany.

Mesh:

Year:  2003        PMID: 12760557     DOI: 10.1109/TMI.2003.809632

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  4 in total

1.  Improving image quality in medical images using a combined method of undecimated wavelet transform and wavelet coefficient mapping.

Authors:  Du-Yih Tsai; Eri Matsuyama; Hsian-Min Chen
Journal:  Int J Biomed Imaging       Date:  2013-12-07

Review 2.  Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review.

Authors:  Saleem Z Ramadan
Journal:  J Healthc Eng       Date:  2020-03-12       Impact factor: 2.682

3.  Deep Learning Capabilities for the Categorization of Microcalcification.

Authors:  Koushlendra Kumar Singh; Suraj Kumar; Marios Antonakakis; Konstantina Moirogiorgou; Anirudh Deep; Kanchan Lata Kashyap; Manish Kumar Bajpai; Michalis Zervakis
Journal:  Int J Environ Res Public Health       Date:  2022-02-14       Impact factor: 3.390

4.  Detection and classification of Breast Cancer in Wavelet Sub-bands of Fractal Segmented Cancerous Zones.

Authors:  Alireza Shirazinodeh; Hossein Ahmadi Noubari; Hossein Rabbani; Alireza Mehri Dehnavi
Journal:  J Med Signals Sens       Date:  2015 Jul-Sep
  4 in total

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