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Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts

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Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts

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Pérez-Benito, FJ.; Signol, F.; Perez-Cortes, J.; Pollán, M.; Perez-Gómez, B.; Salas-Trejo, D.; Casals, M.... (2019). Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts. Computer Methods and Programs in Biomedicine. 177:123-132. https://doi.org/10.1016/j.cmpb.2019.05.022

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151168

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Title: Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts
Author: Pérez-Benito, Francisco Javier Signol, François Perez-Cortes, Juan-Carlos Pollán, Marina Perez-Gómez, Beatriz Salas-Trejo, Dolores Casals, María Martinez, Inmaculada Llobet Azpitarte, Rafael
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Background The breast dense tissue percentage on digital mammograms is one of the most commonly used markers for breast cancer risk estimation. Geometric features of dense tissue over the breast and the presence of ...[+]
Subjects: Breast density , Texture features , Cancer development risk , Breast cancer
Copyrigths: Reserva de todos los derechos
Source:
Computer Methods and Programs in Biomedicine. (issn: 0169-2607 )
DOI: 10.1016/j.cmpb.2019.05.022
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.cmpb.2019.05.022
Project ID:
IVACE/IMAMCN/2018/1 (ID-II3D)
INSTITUTO DE SALUD CARLOS III/DTS15/00080
Thanks:
This work was partially funded by Generalitat Valenciana through I+D IVACE (Valencian Institute of Business Competitiviness) and GVA (European Regional Development Fund) supports under the project IMAMCN/2018/1, and by ...[+]
Type: Artículo

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