Grid infrastructures for developing mammography CAD systems

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

ramos-pollan, r (Author) Other; franco, jm (Author) Other; sevilla, j (Author) Other; guevara-lopez, ma (Author) Other; de posada, ng (Author) Other; loureiro, j (Author) Other; ramos, i (Author) Other

Conference proceedings International

Title: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Pages: 3467-3470

2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Buenos Aires, 31 August 2010 through 4 September 2010

Indexing

ISI Web of Knowledge

Scopus - 4 Citations

Other information

Authenticus ID: P-007-WVE

DOI: 10.1109/iembs.2010.5627832

Abstract (EN): This paper presents a set of technologies developed to exploit Grid infrastructures for breast cancer CAD, that include (1) federated repositories of mammography images and clinical data over Grid storage, (2) a workstation for mammography image analysis and diagnosis and (3) a framework for data analysis and training machine learning classifiers over Grid computing power specially tuned for medical image based data. An experimental mammography digital repository of approximately 300 mammograms from the MIAS database was created and classifiers were built achieving a 0.85 average area under the ROC curve in a dataset of 100 selected mammograms with representative pathological lesions and normal cases. Similar results were achieved with classifiers built for the UCI Breast Cancer Wisconsin dataset (699 features vectors). Now these technologies are being validated in a real medical environment at the Faculty of Medicine in Porto University after a process of integrating the tools within the clinicians workflows and IT systems. © 2010 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4