A scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms

Details A scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms A scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms

2007-01-04

arxiv.org/abs/physics/0701046v1

Nuclear Instruments and Methods in Physics Research A 569 (2006) 601-605

Physics

Medical Physics

6 pages, 5 figures; Proceedings of the ITBS 2005, 3rd International Conference on Imaging Technologies in Biomedical Sciences,

Scientific paper

10.1016/j.nima.2006.08.094

A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and artificial neural networks. It is able to identify microcalcifications in different kinds of mammograms (i.e. acquired with different machines and settings, digitized with different pitch and bit depth or direct digital ones). The CADe can be remotely run from GRID-connected acquisition and annotation stations, supporting clinicians from geographically distant locations in the interpretation of mammographic data. We report the FROC analyses of the CADe system performances on three different dataset of mammograms, i.e. images of the CALMA INFN-founded database collected in the Italian National screening program, the MIAS database and the so-far collected MammoGrid images. The sensitivity values of 88% at a rate of 2.15 false positive findings per image (FP/im), 88% with 2.18 FP/im and 87% with 5.7 FP/im have been obtained on the CALMA, MIAS and MammoGrid database respectively.

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