A scalable system for microcalcification cluster automated detection in a distributed mammographic database

Author

Delogu, Pasquale ; Fantacci, Maria Evelina ; Martinez, Alessandro Preite ; Retico, Alessandra ; Stefanini, Arnaldo ; Tata, Alessandro

Author_Institution

Dipt. di Fisica, Pisa Univ.

Volume

3

fYear

2005

fDate

23-29 Oct. 2005

Lastpage

1534

Abstract

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 datasets 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 and discuss the system performances on different datasets of mammograms and the status of the GRID-enabled CADe analysis

Keywords

PACS; data acquisition; mammography; medical image processing; neural nets; wavelet transforms; GRID-connected acquisition station; GRID-connected annotation station; artificial neural networks; computer-aided detection system; distributed mammographic database; mammograms; microcalcification cluster automated detection; scalable system; wavelet transforms; Breast; Computer networks; Distributed computing; Distributed databases; Feature extraction; Grid computing; Neural networks; Performance analysis; Skin; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2005 IEEE

Conference_Location

Fajardo

ISSN

1095-7863

Print_ISBN

0-7803-9221-3

Type

conf

DOI

10.1109/NSSMIC.2005.1596609

Filename

1596609