Implementation of a low-cost mobile devices to support medical diagnosis

Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to...

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Detalles Bibliográficos
Autores: García Sánchez, Carlos, Botella Juan, Guillermo, Ayuso Márquez, Fermín, González Rodríguez, Diego, Prieto Matías, Manuel, Tirado Fernández, José Francisco
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/34960
Acceso en línea:https://hdl.handle.net/20.500.14352/34960
Access Level:acceso abierto
Palabra clave:004
Determining optical-flow
Motion estimation
Image motion
Computation
Perception
Model.
Informática (Informática)
Programación de ordenadores (Informática)
1203.17 Informática
1203.23 Lenguajes de Programación
Descripción
Sumario:Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics.