Publication details

Efficient Textural Model-Based Mammogram Enhancement

Conference Paper (international conference)

Haindl Michal, Remeš Václav


serial: 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), p. 522-523

action: 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), (Porto, PT, 20.06.2013-22.06.2013)

keywords: mammogram enhancement, autoregressive texture model, breast tissue modeling

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abstract (eng):

An efficient method for X-ray digital mammogram multi-view enhancement based on the underlying two-dimensional adaptive causal autoregressive texture model is presented. The~method locally predicts breast tissue texture from multi-view mammograms and enhances breast tissue abnormalities, such as the sign of a developing cancer, using the estimated model prediction error. The~mammogram enhancement is based on the cross-prediction error of mutually registered left and right breasts mammograms or on the single-view model prediction error if both breasts' mammograms are not available.

RIV: BD