Computerized detection of masses from digitized mammograms: comparison of single-image segmentation and bilateral-image subtraction

Academic Radiology
Bin ZhengD Gur

Abstract

Two methods--single-image segmentation and bilateral-image subtraction--have been used commonly as the first stage in computer-aided detection (CAD) schemes to detect masses on digitized mammograms. In the current study, we investigated and compared the advantages and disadvantages of the two methods in achieving a high sensitivity for mass detection. Two CAD schemes were tested. One used Gaussian filtering based on single-image segmentation, and the other used bilateral-image subtraction based on left-right image pairs to identify suspicious mass regions. A clinical database that contained 152 verified mass cases was used to compare the two approaches. The single-image segmentation method yielded 100% sensitivity and had a somewhat higher number of initial suspicious regions. The bilateral-image subtraction method missed several true-positive regions at the initial phase. Each approach achieved more than 90% sensitivity at a false-positive rate of approximately 0.8 per image. Optimal initial image segmentation schemes may depend on the complete detection and classification method used. Single-image segmentation methods may perform comparably with bilateral-image segmentation schemes, and these techniques appear to be more vers...Continue Reading

References

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Citations

May 26, 2011·Biomedical Imaging and Intervention Journal·G Dougherty
Apr 15, 2014·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Wenqing SunWei Qian
Feb 6, 2016·Journal of Biomedical Optics·Pamela G AndersonSergio Fantini

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