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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Tomoya Muroi1, Yongbum Lee, Du-Yih Tsai
1Graduate School of Health Sciences, Niigata University.
This study introduces an automated method for detecting blurred regions in radiographs using edge detection and machine learning. The technique achieved high accuracy in identifying both normal and blurred regions in phantom and clinical images.
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