Multidisciplinary Collaboration for the Development of Innovative Solutions in Health Care: The Case of the IMED Project

José M. Franco-Valiente (), Miguel A. Guevara-López () and Raúl Ramos-Pollán ()
Additional contact information
José M. Franco-Valiente: CETA-CIEMAT
Miguel A. Guevara-López: Universidade de Aveiro (UA)
Raúl Ramos-Pollán: Universidad Industrial de Santander (UIS)

A chapter in Challenges and Opportunities in Health Care Management, 2015, pp 363-370 from Springer

Abstract: Abstract This chapter describes the IMED project, a multidisciplinary, transnational effort to endow clinicians with state-of-the-art computer-based methods to assist them in the diagnosis of new breast cancer cases and to provide innovative training tools in specialized academic programs. It involves research and medical institutions in Portugal and Spain and its main achievements include (1) designing a workflow for radiographic data acquisition, annotation and analysis, (2) developing a workstation for computer-aided diagnosis and (3) creating a team of specialized radiologists, mathematicians and computer engineers sharing a common understanding and methodology on the domain.

Keywords: Breast Cancer; Breast Cancer Diagnosis; IMED Project; Machine Learning Classifier; Specialized Radiologist (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-12178-9_30

Ordering information: This item can be ordered from
http://www.springer.com/9783319121789

DOI: 10.1007/978-3-319-12178-9_30

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().