Visual Perception Driven Registration of Mammograms

This paper aims to develop a methodology to register pairs of temporal mammograms. Control points based on anatomical features are detected in an automated way. Thereby, image semantic is used to extract landmarks based on these control points. A referential is generated from these control points based on this referential the studied images are realigned using different levels of observation leading to both rigid and pseudo non-rigid transforms according to expert mammogram reading.

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