24 Result(s)
within
Conference Paper
Joan Martí
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Chapter and Conference Paper
Multi-Hazard Risk Assessment at the Canary Islands
The term “multi-hazard” is a concept that is increasingly gaining ground in national and international disaster reduction policies. However, its implementation is still timid, and the initiatives that have bee...
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Chapter and Conference Paper
Geoethics: The Missing Piece in the Separation of Responsibility Between Volcanologists and Decision-Makers
In a volcanic crisis, authorized decision-makers must balance the social and economic costs of mitigating actions, such as evacuation, against the potential human losses if such actions are insufficient. In ma...
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Chapter and Conference Paper
Similarity Metrics for Intensity-Based Registration Using Breast Density Maps
Intensity-based registration algorithms have been widely used in medical image applications. This type of registration algorithms uses an object function to compute a transformation and optimizes a measure of ...
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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...
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Chapter and Conference Paper
Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI
The use of prior studies to complement the information in Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) can help to reduce the currently high false positive ratios. Registration is a fu...
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Chapter and Conference Paper
Volcano-Stratigraphy of La Garrotxa Monogenetic Volcanic Field, Northeastern Spain
La Garrotxa monogenetic volcanic field (GVF) is located in northeastern Iberia and forms part of the Catalan Volcanic Zone (CVZ), which is a province of the Quaternary alkaline volcanism of the European rift s...
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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...
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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 ...
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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 ...
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Chapter and Conference Paper
Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images
Ultrasound (US) B-mode images often show intensity inhomogeneities caused by an ultrasonic beam attenuation within the body. Due to this artifact, the conventional segmentation approaches based on intensity or...
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Chapter and Conference Paper
Lesion Segmentation in Breast Sonography
Sonography is gaining popularity as an adjunct screening technique for assessing abnormalities in the breast. This is particularly true in cases where the subject has dense breast tissue, wherein widespread te...
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Chapter and Conference Paper
Multi-Scale Image Analysis Applied to Radioastronomical Interferometric Data
Multi-Scale image analysis is specially suited to detect objects in deep wide field radio astronomical images obtained through interferometric aperture synthesis techniques. These images are usually complex an...
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Chapter and Conference Paper
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to noise ratio by removing speckle ...
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Chapter and Conference Paper
On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI
Multivariate imaging technologies such as Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) have recently gained an important attention as it improves tumour detection. Modelling of contrast media...
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Chapter and Conference Paper
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPCA) algorithm, recently propos...
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Chapter and Conference Paper
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and the ones which actually are n...
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Chapter and Conference Paper
Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms
Previous works on breast tissue identification and abnormalities detection notice that the feature extraction process is affected if the region processed is not well focused. Thereby, it is important to split ...
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Chapter and Conference Paper
A Learning Framework for Object Recognition on Image Understanding
In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises the role of the user as teacher of the ...
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Chapter and Conference Paper
Colour Texture Segmentation by Region-Boundary Cooperation
A colour texture segmentation method which unifies region and boundary information is presented in this paper. The fusion of several approaches which integrate both information sources allows us to exploit the...
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Chapter and Conference Paper
Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features
In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has been manually selected by an expert rad...
