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  1. No Access

    Chapter and Conference Paper

    Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures

    Virtual clinical trials (VCT) currently represent key tools for breast imaging optimisation, especially in two-dimensional planar mammography and digital breast tomosynthesis. Voxelised breast models are a cru...

    Oliver Díaz, Arnau Oliver, Sergi Ganau, Eloy García, Joan Martí in Breast Imaging (2016)

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    Chapter and Conference Paper

    Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images

    Breast cancer is one of the leading causes of cancer death among women worldwide. The proposed approach comprises three steps as follows. Firstly, the image is preprocessed to remove speckle noise while preser...

    Mohamed Elawady, Ibrahim Sadek, Abd El Rahman Shabayek in Image Analysis and Recognition (2016)

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    Article

    Breast Density Analysis Using an Automatic Density Segmentation Algorithm

    Breast density is a strong risk factor for breast cancer. In this paper, we present an automated approach for breast density segmentation in mammographic images based on a supervised pixel-based classification...

    Arnau Oliver, Meritxell Tortajada, Xavier Lladó in Journal of Digital Imaging (2015)

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    Chapter and Conference Paper

    SIFT Texture Description for Understanding Breast Ultrasound Images

    Texture is a powerful cue for describing structures that show a high degree of similarity in their image intensity patterns. This paper describes the use of Self-Invariant Feature Transform (SIFT), both as low...

    Joan Massich, Fabrice Meriaudeau, Melcior Sentís, Sergi Ganau, Elsa Pérez in Breast Imaging (2014)

  5. No Access

    Chapter and Conference Paper

    Demons Methods for Digital Mammography Registration

    Image registration is regarded as an important tool for the analysis of temporal mammograms, specially for lesion detection. However, it has not been widely adopted due to the complexity of the problem and the...

    Yago Díez, Meritxell Tortajada, Sergi Ganau in Pattern Recognition and Image Analysis (2013)

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    Chapter and Conference Paper

    Feasibility Study of Lesion Detection Using Deformable Part Models in Breast Ultrasound Images

    Detection of lesions in ultrasound imaging typically requires human analysis due to their complexity. Hence, computerized lesion detection methods could be used to help radiologists in this process due to the ...

    Gerard Pons, Robert Martí, Sergi Ganau in Pattern Recognition and Image Analysis (2013)

  7. No Access

    Chapter and Conference Paper

    Automatic Seed Placement for Breast Lesion Segmentation on US Images

    Breast lesion boundaries have been mostly extracted by using conventional approaches as a previous step in the development of computer-aided diagnosis systems. Among these, region growing is a frequently used ...

    Joan Massich, Fabrice Meriaudeau, Melcior Sentís, Sergi Ganau, Elsa Pérez in Breast Imaging (2012)

  8. No Access

    Chapter and Conference Paper

    Adapting Breast Density Classification from Digitized to Full-Field Digital Mammograms

    Mammographic density is strongly associated with breast cancer, being considered one of the most important risk indicators for the development of this type of disease. Likewise, the sensitivity of automatic br...

    Meritxell Tortajada, Arnau Oliver, Robert Martí, Mariona Vilagran in Breast Imaging (2012)

  9. No Access

    Article

    Leiomyosarcoma of sacrum: imaging and histopathologic findings

    A rare case of low-grade primary leiomyosarcoma of the sacrum is described in a young woman who suffered from pain in the right sacroiliac region. A lytic sacral mass was observed on conventional radiology an...

    Sergi Ganau, Xavier Tomás, Carme Mallofré, Juan M. Macho, Jaume Pomés in European Radiology (2002)