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

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...

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Veröffentlicht in:Academic radiology 1995-12, Vol.2 (12), p.1056-1061
Hauptverfasser: Zheng, Bin, Chang, Yuan-Hsiang, Gur, David
Format: Artikel
Sprache:eng
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Zusammenfassung: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 versatile and easily adaptable to future clinical CAD applications.
ISSN:1076-6332
1878-4046
DOI:10.1016/S1076-6332(05)80513-6