-
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...
-
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...
-
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...
-
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...
-
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...
-
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 ...
-
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 ...
-
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...
-
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...