256 research outputs found
Segmentation of bone structures in 3D CT images based on continuous max- ow optimization
In this paper an algorithm to carry out the automatic segmentation of bone structures in 3D CT images
has been implemented. Automatic segmentation of bone structures is of special interest for radiologists and
surgeons to analyze bone diseases or to plan some surgical interventions. This task is very complicated as bones
usually present intensities overlapping with those of surrounding tissues. This overlapping is mainly due to the
composition of bones and to the presence of some diseases such as Osteoarthritis, Osteoporosis, etc. Moreover,
segmentation of bone structures is a very time-consuming task due to the 3D essence of the bones. Usually,
this segmentation is implemented manually or with algorithms using simple techniques such as thresholding and
thus providing bad results. In this paper gray information and 3D statistical information have been combined
to be used as input to a continuous max-
ow algorithm. Twenty CT images have been tested and di erent
coe cients have been computed to assess the performance of our implementation. Dice and Sensitivity values
above 0.91 and 0.97 respectively were obtained. A comparison with Level Sets and thresholding techniques has
been carried out and our results outperformed them in terms of accuracy.Ministerio de ciencia e innovación TEC2010-21619-C04-02Junta de Andalucía P11-TIC-772
SeaClouds: An Open Reference Architecture for Multi-Cloud Governance
A. Brogi, J. Carrasco, J. Cubo, F. D'Andria, E. Di Nitto, M. Guerriero, D. Pérez, E. Pimentel, J. Soldani. "SeaClouds: An Open Reference Architecture for Multi-Cloud Governance". In B. Tekinerdogan et al. (Eds.): ECSA 2016, LNCS 9839, pp. 334–338, 2016.We present the open reference architecture of the SeaClouds solution. It aims at enabling a seamless adaptive multi-cloud management of complex applications by supporting the distribution, monitoring and reconfiguration of app modules over heterogeneous cloud providers.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
Adaptive Vectorial Filter for Grid Synchronization of Power Converters Under Unbalanced and/or Distorted Grid Conditions
This paper presents a new synchronization scheme for detecting multiple positive-/negative-sequence frequency harmonics in three-phase systems for grid-connected power converters. The proposed technique is called MAVF-FLL because it is based on the use of multiple adaptive vectorial filters (AVFs) working together inside a harmonic decoupling network, resting on a frequency-locked loop (FLL) which makes the system frequency adaptive. The method uses the vectorial properties of the three-phase input signal in the αβ reference frame in order to obtain the different harmonic components. The MAVF-FLL is fully designed and analyzed, addressing the tuning procedure in order to obtain the desired and predefined performance. The proposed algorithm is evaluated by both simulation and experimental results, demonstrating its ability to perform as required for detecting different harmonic components under a highly unbalanced and distorted input grid voltage
Enseñanza de Anatomía de Superficie Mediante la Pintura Corporal
The present project on learning surface anatomy through the body painting method was undertaken because
anatomical knowledge supports medical practice. The appropriate anatomical training of the doctor depends on surface anatomy. We
considered the renovation of teaching strategies and didactic resources to optimize the overall teaching- learning process. 189 first-year
medical students, enrolled in the Trunk and Splanchnology course at the University of Cádiz (Spain) participated in this study. Students
were divided into 5 groups each of 38-41 students. The students were asked to complete a satisfaction questionnaire supplied to each
participant through an on-line platform. On the basis of the results, we recommend the body painting method as an alternative tool for
learning surface and clinical anatomy
Clasificación de lesiones de piel basada en filtros de Gabor y color
CONGRESO ANUAL DE LA SOCIEDAD ESPAÑOLA DE INGENIERÍA BIOMÉDICA (CASEIB 2009) (27) (27.2009.CADIZ, ESPAÑA)Cuando se pretende diagnosticar un posible cáncer de piel, los
médicos evalúan la lesión siguiendo diferentes reglas. Aunque
la más famosa es la regla ABCD (Asimetría, Borde, Color,
Diámetro), una técnica muy empleada en Dermatología es
clasificar las lesiones siguiendo un análisis de patrones. Este
artículo presenta un método novedoso basado en técnicas de
filtrado que clasifica imágenes de color correspondientes a
diferentes patrones dermatoscópicos. Hemos evaluado nuestro
método usando filtros de Gabor y hemos comparado los
resultados obtenidos cuando usamos dos espacios diferentes de
color (RGB y L*a*b*) y también cuando consideramos o no la
información de color. Para implementar esta tarea hemos
evaluado la tasa de clasificación usando 8 vectores diferentes
de características. Para cada tipo de vector de características
hemos usado el 80% de las imágenes de la base de datos para
entrenar una red neuronal fuzzy ARTMAP. El restante 20% de
las imágenes fue usado para testear la red. La mejor tasa de
clasificación es del 90% cuando usamos el espacio de color
L*a*b* para la representación de las imágenes.Junta de Andalucía P06-TIC-0141
Performance Study of Software AER-Based Convolutions on a Parallel Supercomputer
This paper is based on the simulation of a convolution model for bioinspired
neuromorphic systems using the Address-Event-Representation (AER)
philosophy and implemented in the supercomputer CRS of the University of
Cadiz (UCA). In this work we improve the runtime of the simulation, by
dividing an image into smaller parts before AER convolution and running each
operation in a node of the cluster. This research involves a test cases design in
which the optimal parameters are set to run the AER convolution in parallel
processors. These cases consist on running the convolution taking an image
divided in different number of parts, applying to each part a Sobel filter for
edge detection, and based on the AER-TOOL simulator. Execution times are
compared for all cases and the optimal configuration of the system is discussed.
In general, CRS obtain better performances when the image is divided than for
the whole image.Ministerio de Ciencia e Innovación TEC2009-10639-C04-0
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
In this paper, a chip that performs real-time image
convolutions with programmable kernels of arbitrary shape is presented.
The chip is a first experimental prototype of reduced size
to validate the implemented circuits and system level techniques.
The convolution processing is based on the address–event-representation
(AER) technique, which is a spike-based biologically
inspired image and video representation technique that favors
communication bandwidth for pixels with more information. As
a first test prototype, a pixel array of 16x16 has been implemented
with programmable kernel size of up to 16x16. The
chip has been fabricated in a standard 0.35- m complimentary
metal–oxide–semiconductor (CMOS) process. The technique also
allows to process larger size images by assembling 2-D arrays of
such chips. Pixel operation exploits low-power mixed analog–digital
circuit techniques. Because of the low currents involved (down
to nanoamperes or even picoamperes), an important amount of
pixel area is devoted to mismatch calibration. The rest of the
chip uses digital circuit techniques, both synchronous and asynchronous.
The fabricated chip has been thoroughly tested, both at
the pixel level and at the system level. Specific computer interfaces
have been developed for generating AER streams from conventional
computers and feeding them as inputs to the convolution
chip, and for grabbing AER streams coming out of the convolution
chip and storing and analyzing them on computers. Extensive
experimental results are provided. At the end of this paper, we
provide discussions and results on scaling up the approach for
larger pixel arrays and multilayer cortical AER systems.Commission of the European Communities IST-2001-34124 (CAVIAR)Commission of the European Communities 216777 (NABAB)Ministerio de Educación y Ciencia TIC-2000-0406-P4Ministerio de Educación y Ciencia TIC-2003-08164-C03-01Ministerio de Educación y Ciencia TEC2006-11730-C03-01Junta de Andalucía TIC-141
Urinary Microbiome: Yin and Yang of the Urinary Tract
This study was supported by "Programa Estatal de Investigacio ' n, Desarrollo e Innovacion Orientada a los Retos de la Sociedad" (grant SAF-SAF2015-71714-RMINECO/FEDER) and by " Instituto de Salud Carlos III" under the frame of EuroNanoMed III (AC18/00008). VP-C was supported by "Programa de Promocion de Empleo Joven e Implantacion de la Garantia Juvenil en I+D+i", MIMECO, Spain, and AS-L was supported by a fellowship from the Ministry of Education, Culture and Sport (FPU 17/05413).We would like to thank all members of the lab for helpful
comments and discussion.The application of next generation sequencing techniques has allowed the characterization of the urinary tract microbiome and has led to the rejection of the pre-established concept of sterility in the urinary bladder. Not only have microbial communities in the urinary tract been implicated in the maintenance of health but alterations in their composition have also been associated with different urinary pathologies, such as urinary tract infections (UTI). Therefore, the study of the urinary microbiome in healthy individuals, as well as its involvement in disease through the proliferation of opportunistic pathogens, could open a potential field of study, leading to new insights into prevention, diagnosis and treatment strategies for urinary pathologies. In this review we present an overview of the current state of knowledge about the urinary microbiome in health and disease, as well as its involvement in the development of new therapeutic strategies.Programa Estatal de Investigacio' n, Desarrollo e Innovacion Orientada a los Retos de la Sociedad
SAF-SAF2015-71714-RMINECO/FEDERInstituto de Salud Carlos III
European Commission
AC18/00008"Programa de Promocion de Empleo Joven e Implantacion de la Garantia Juvenil en I+D+i", MIMECO, SpainMinistry of Education, Culture and Sport
FPU 17/0541
Conventional Space-Vector Modulation Techniques versus the Single-Phase Modulator for Multilevel Converters
Space-vector modulation is a well-suited technique
to be applied to multilevel converters and is an important
research focus in the last 25 years. Recently, a single-phase
multilevel modulator has been introduced showing its conceptual
simplicity and its very low computational cost. In this paper,
some of the most conventional multilevel space-vector modulation
techniques have been chosen to compare their results with those
obtained with single-phase multilevel modulators. The obtained
results demonstrate that the single-phase multilevel modulators
applied to each phase are equivalent with the chosen wellknown
multilevel space-vector modulation techniques. In this
way, single-phase multilevel modulators can be applied to a
converter with any number of levels and phases avoiding the
use of conceptually and mathematically complex space-vector
modulation strategies. Analytical calculations and experimental
results are shown validating the proposed concepts
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