Implementation of a low-cost mobile devices to support medical diagnosis
| Autor: | Francisco Tirado Fernandez, Guillermo Botella Juan, Manuel Prieto-Matias, Fermín Ayuso Márquez, Carlos García Sánchez, Diego González Rodríguez |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Motion analysis
Article Subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Breast Neoplasms 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics computer.software_genre General Biochemistry Genetics and Molecular Biology Field (computer science) 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering Medical imaging Image Processing Computer-Assisted Medicine Mammography Humans Segmentation Medical diagnosis Simulation Informática Motion compensation General Immunology and Microbiology Multimedia medicine.diagnostic_test business.industry Applied Mathematics General Medicine Magnetic Resonance Imaging 3. Good health Programación de ordenadores Modeling and Simulation lcsh:R858-859.7 020201 artificial intelligence & image processing Female business computer Mobile device 030217 neurology & neurosurgery Algorithms Research Article |
| Zdroj: | E-Prints Complutense. Archivo Institucional de la UCM instname Computational and Mathematical Methods in Medicine E-Prints Complutense: Archivo Institucional de la UCM Universidad Complutense de Madrid Computational and Mathematical Methods in Medicine, Vol 2013 (2013) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|