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Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction

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Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction

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Llobet Azpitarte, R.; Pollán, M.; Antón Guirao, J.; Miranda-García, J.; Casals El Busto, M.; Martinez Gomez, I.; Ruiz Perales, F.... (2014). Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction. Computer Methods and Programs in Biomedicine. 116(2):105-115. https://doi.org/10.1016/j.cmpb.2014.01.021

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52701

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Title: Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction
Author: Llobet Azpitarte, Rafael Pollán, Marina Antón Guirao, Joaquín Miranda-García, Josefa Casals el Busto, María Martinez Gomez, Inmaculada Ruiz Perales, Francisco Pérez Gómez, Beatriz Salas-Trejo, Dolores Perez-Cortes, Juan-Carlos
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Área de Instituto de Ciencias de la Educación - Àrea de l'Institut de Ciències de l'Educació
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
The task of breast density quantification is becoming increasingly relevant due to its association with breast cancer risk. In this work, a semi-automated and a fully automated tools to assess breast density from full-field ...[+]
Subjects: Mammographic density , Automated density assessment , Computer-aided diagnosis , Computer image analysis , Breast cancer risk
Copyrigths: Reserva de todos los derechos
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 )
DOI: 10.1016/j.cmpb.2014.01.021
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cmpb.2014.01.021
Project ID:
Gent perGent Fund (EDEMAC Project)
...[+]
Gent perGent Fund (EDEMAC Project)
Spain’s Health Research Fund (Fondo de Investigación Santiaria) (PI060386)
Spain’s Health Research Fund (Fondo de Investigación Santiaria) (FIS PS09/00790)
info:eu-repo/grantAgreement/MICINN//TIN2009-14205-C04-02/ES/Tecnicas Interactivas Y Adaptativas Para Sistemas Automaticos De Reconocimiento, Aprendizaje Y Percepcion/
info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/
Spanish Federationof Breast Cancer Patients (Federación Española de Cáncer de Mama) (FECMA 485 EPY 1170-10)
Universitat Politècnica de València
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Thanks:
This work was supported by research grants from Gent per Gent Fund (EDEMAC Project); Spain's Health Research Fund (Fondo de Investigacion Santiaria) (PI060386 & FIS PS09/00790); Spanish MICINN grants TIN2009-14205-C04-02 ...[+]
Type: Artículo

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