Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

COSERMI

Financiado

Cerrado

Content and Ontology based Search and Retrieval of Medical Images

This reintegration project aims at combining content and context information for search and retrieval of brain magnetic resonance (MR) images from large databases. The number of digital images that need to be analyzed, processed,... ver más

31/01/2013

BAU

30K€

Presupuesto del proyecto: 30K€

Líder del proyecto

BAHCESEHIR UNIVERSITESI No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2013-01-31 No tenemos la información de la convocatoria

0% 100% 100%

Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

BAU

0.00€ | Lider

SABANCI UNIVERSITY

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Líder del proyecto

BAHCESEHIR UNIVERSITESI No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 30K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto This reintegration project aims at combining content and context information for search and retrieval of brain magnetic resonance (MR) images from large databases. The number of digital images that need to be analyzed, processed, searched and stored at healthcare centres is exponentially increasing. To identify the underlying causes of a pathology medical experts generally benefit from similar cases. Patient search systems used for this purpose at the healthcare centres mostly use keyword-based approaches. However, combining image features (content) with patient demographic information, clinical findings and ontologies capturing disease-specific, clinical and anatomical information (context) will improve search and retrieval of medical images. Solutions in the literature generally either focus on only image content or benefit from only context information. As proposed in this grant, combining content and context knowledge for image search and retrieval will aid medical experts in finding similar cases more efficiently, and therefore will improve diagnosis and treatment efficacy of diseases whose causes and progresses are not yet fully known, and diseases with high prevalence, e.g. neurodegenerative disorders. Furthermore, such solutions may also lead into discoveries of new biomarkers. This reintegration grant proposes a novel work that combines content and context information for brain MR image search and retrieval, that processes multiple MR contrasts, that is specialised at neurology-radiology field and that can be used with disease focus.Realisation of this multidisciplinary project will result in 1.creation of powerful image search and retrieval that will aid experts in finding similar cases more efficiently, 2.improvement in diagnosis and treatment, 3.new scientific publications and patent applications, 4.contributions to European economic, social and scientific progress, and 5.long-lasting professional reintegration of the researcher.

Conecta tu I+D

Entra hoy

Forgot your password?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores