Abstract
This work describes a mammographic image compression method that uses segmentation and the prediction by partial matching (PPM) data compression algorithm, together with the gray code and a bit plane image decomposition. The compressor will be included in a Computer-Aided Diagnosis System which is still being developed. Results show that the method achieves competitive compression rates in comparison with other advanced compressors, and brings some additional benefits which will be discussed in this work.KeywordsMammographyCompression Prediction by Partial Matching (PPM)Bit PlanesGray Code
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