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Evaluation of computer-aided detection (CAD) prompting techniques for mammography

Imaging Science and Biomedical Engineering, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT UK

View larger version (5K): [in a new window]   Figure 1. (a) Three-dimensional representation of three individual particles of calcification in the breast. (b) Two-dimensional projection of the particles showing false clustering.

View larger version (20K): [in a new window]   Figure 2. Drawing of a mass lesion. The light grey region represents an area of increased density within the mass.

View larger version (9K): [in a new window]   Figure 3. (a) Three expert readers' delineations of a lesion boundary. (b) A likelihood map based on the annotations. The lighter the colour, the more likely a pixel is to be part of the lesion.

View larger version (7K): [in a new window]   Figure 4. Diagrams illustrating false positive responses. The truth region is white and the algorithm response regions are black. (a) A "near miss" (one false positive). (b) Multiple false positives around the edge of the lesion.

View larger version (6K): [in a new window]   Figure 5. Illustration of a spiculated lesion with a prompt placed near the end of a spicule (arrow).