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Listar por palabra clave "Mammography"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "Mammography"

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    A Deep Learning Framework to classify Breast Density with Noisy Labels Regularization 
    López-Almazán, Héctor; Perez-Benito, Francisco Javier; Larroza, Andrés; Perez-Cortes, Juan-Carlos; Pollán, Marina; Perez-Gomez, Beatriz; Salas-Trejo, Dolores; Casals, María; Llobet Azpitarte, Rafael (Elsevier, 2022-06-01)
    [EN] Background and Objective: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data ...
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    A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation 
    Perez-Benito, Francisco Javier; Signol, François; Perez-Cortes, Juan-Carlos; Fuster Bagetto, Alejandro; Pollan, Marina; Pérez-Gómez, Beatriz; Salas-Trejo, Dolores; Casals, Maria; Martínez, Inmaculada; Llobet Azpitarte, Rafael (Elsevier, 2020-10)
    [EN] Background and Objective: Breast cancer is the most frequent cancer in women. The Spanish healthcare network established population-based screening programs in all Autonomous Communities, where mammograms of asymptomatic ...
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    Application of the MTSVD and Tikhonov unfolding methods for reconstruction of primary X-ray spectra of mammography equipments with silicon detector 
    Querol Vives, Andrea; Gallardo Bermell, Sergio; Ródenas Diago, José; Verdú Martín, Gumersindo Jesús (American Nuclear Society, 2011)
    [EN] Quality control of mammography units is necessary to reduce the dose imparted to women as much as possible. Accurate characterization of the primary X-ray spectra is very useful for this purpose. Obtaining primary ...
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    Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach 
    Larroza, Andrés; Pérez-Benito, Francisco Javier; Perez-Cortes, Juan-Carlos; Román, Marta; Pollán, Marina; Pérez-Gómez, Beatriz; Salas-Trejo, Dolores; Casals, María; Llobet Azpitarte, Rafael (MDPI AG, 2022-08)
    [EN] Breast density assessed from digital mammograms is a known biomarker related to a higher risk of developing breast cancer. Supervised learning algorithms have been implemented to determine this. However, the performance ...
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    Deep-Learning-Based Computer- Aided Systems for Breast Cancer Imaging: A Critical Review 
    Jiménez-Gaona, Yuliana; Rodríguez Álvarez, María José; Lakshminarayanan, Vasudevan (MDPI AG, 2020-11)
    [EN] This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection ...
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    Design and evaluation of the MAMMI dedicated breast PET 
    Moliner Martínez, Laura; González Martínez, Antonio Javier; Soriano Asensi, Antonio; Sánchez Martínez, Filomeno; Correcher Salvador, Carlos; Orero Palomares, Abel; Carles Fariña, Montserrat; Vidal San Sebastián, Luis Fernando; Barberá Ballester, Julio; Caballero Ontanaya, Luis; Seimetz, Michael; Vazquez Barreiros, Carlos; Benlloch Baviera, Jose María (American Association of Physicists in Medicine, 2012-09)
    Purpose: A breast dedicated positron emission tomography (PET) scanner has been developed based on monolithic LYSO crystals coupled to position sensitive photomultiplier tubes (PSPMTs). In this study, we describe the ...
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    Estimación semiautomática de la densidad mamaria con DM-Scan 
    Martinez Gomez, Inmaculada; Casals el Busto, María; Antón Guirao, Joaquín; Ruiz Perales, Francisco; Llobet Azpitarte, Rafael (Elsevier, 2014)
    [EN] Objective To evaluate the reproducibility of the calculation of breast density with DM-Scan software, which is based on the semiautomatic segmentation of fibroglandular tissue, and to compare it with the reproducibility ...
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    Segmentación de imágenes mamográficas de cáncer de mama 
    Guerrero Olivares, Irene (Universitat Politècnica de València, 2020-05-11)
    [ES] El cáncer de mama es uno de los cánceres más comunes entre mujeres en todo el mundo. Durante la última década el número de casos ha descendido, en parte debido a los procedimientos de diagnóstico y prevención. Aun ...
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    Segmentation of the breast skin and its influence in the simulation of the breast compresion during an X-Ray mammography 
    Solves Llorens, Juan Antonio; Rupérez Moreno, María José; Monserrat Aranda, Carlos; Feliu, E.; García, M.; Lloret, M. (Hindawi Publishing Corporation, 2012)
    A novel method of skin segmentation is presented aimed to obtain as many pixels belonging to the real skin as possible. This method is validated by experts in radiology. In addition, a biomechanical model of the breast, ...