Image quality in lossy compressed digital mammograms
Signal Processing
Detail preserving wavelet-based compression with adaptive context-based quantisation
Fundamenta Informaticae - Special issue on image compression
Lossless compression of continuous-tone images via context selection, quantization, and modeling
IEEE Transactions on Image Processing
Lossless compression of digital mammograms
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Evaluation of Region-of-Interest coders using perceptual image quality assessments
Journal of Visual Communication and Image Representation
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This paper considers effective compression methods for mammogram storing and interchange. A controversy problem of irreversible compression of medical images is studied in clinical tests to check usefulness and possibility of acceptance of wavelet-based compression for clinical applications. Diagnostic accuracy is measured in abnormality detection tests with ROC-based analysis, and by subjective rating of diagnostically important image features affecting lesion symptoms and image ordering according to preserved diagnostic accuracy. The efficiency of the most approved lossless coders is compared to efficiency of irreversible wavelet coding in acceptable rate range. General conclusion is that more effective irreversible compression of mammograms up to 1bpp is safe (i.e. preserves diagnostic accuracy), according to opinions of radiologists participating the experiments and presented results.