Repositorio Institucional Universidad EAFIT ::Examinando por Materia "Medical imaging"

Examinando por Materia "Medical imaging"

Mostrando 1 - 9 de 9

Detección temprana de melanoma : aplicación de técnicas de procesamiento de imágenes y aprendizaje profundo
(Universidad EAFIT, 2025) Lacouture Fierro, Juan David; Álvarez Barrera, Claudia Patricia
Skin cancer is the most common type of cancer worldwide, with melanoma accounting for only 1% of cases but causing most deaths associated with this disease. In the United States, 97,610 new cases of melanoma were diagnosed in 2023, with a mortality rate of 7,990. In Colombia, the incidence of melanoma has increased significantly in recent years. According to the Cuenta de Alto Costo, 7,881 new cases were reported in 2024, with 11.94% of diagnoses concentrated in Bogotá and the Central region. Additionally, the total number of cases treated in the country increased from 53,622 in 2017 to more than 105,000 in 2021. These figures place Colombia as the fourth country in the Americas with the highest incidence of melanoma, highlighting the urgent need to implement innovative tools for early diagnosis. This project develops a deep learning model to diagnose melanoma through medical imaging, utilizing convolutional neural networks and advanced image processing techniques. The model includes data collection, training, and validation, aiming to deliver rapid and accurate diagnoses. The research encourages for the integration of artificial intelligence into medical practice, enabling early diagnosis in regions with limited access to specialists and alleviating the burden on the healthcare system. In conclusion, this initiative represents a milestone in dermatological care in Colombia, benefiting both high-incidence areas and rural communities.
Formulación modelo de negocio centro de imágenes diagnósticas para animales cero 70 pets
(Universidad EAFIT, 2025) Pineda Jaramillo, Ana Valentina; Rodríguez Arturo, José Fernando; Giraldo Hernández, Gina María; Álvarez Delgado, Susana
This thesis proposes a business model for a veterinary diagnostic imaging center aimed at meeting the growing demand for specialized animal health services in Medellín, its metropolitan area, and the nearby eastern region of Antioquia, in light of the limited availability of diagnostic infrastructure in the region. In response to this problem, the main objective was to design a viable business proposal that integrates economic accessibility, diagnostic precision, and operational efficiency. A mixed-methods approach was employed, combining a bibliographic review of national and international veterinary markets with the analysis of primary data collected through interviews and meetings with sector experts, including veterinarians and staff from the Veterinary Clinic of Universidad CES. The findings revealed opportunities in urgent care, scheduling optimization, the adoption of state-of-the-art technology, and the implementation of financing mechanisms to facilitate access to diagnostic procedures for pet owners. The study concludes that there is a clear gap in the supply of veterinary diagnostic imaging services in the country and that creating a center with a differentiated value proposition can not only address this need but also establish a sustainable and scalable alternative in the market. This proposal offers an effective solution for both veterinary clinics and pet owners, with a positive impact on the quality of animal healthcare.
Geometrical degeneracy removal by virtual disturbances - An application to surface reconstruction from point slice samples
(INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, 2008-01-01) Ruiz, Oscar; Vasquez, Eliana; Pena, Sebastian; Granados, Miguel; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAE
In surface reconstruction from slice samples (typical in medical imaging, coordinate measurement machines, stereolithography, etc.) the available methods attack the geometrical and topological properties of the surface. Topological methods classify the transitions occurred in the 2-manifold between two consecutive slices i and i+ 1. Geometrical methods synthesize the surface based on local proximity of the contours in consecutive slices. Superimposed 2D Voronoi Diagrams VDi and VDi+1 for slices i and i + 1, respectively, present topological problems if, for example, a site of VD i lies on an site or an edge of VDi+1. The usual treatment of this problem in literature is to apply a geometrical disturbance to either VDi or VDi+1, thus eliminating the degeneracy. In contrast, this article presents the implementation of a method which identifies the degenerate situation, constructs un-instantiated topological constructs, choses a geometrical instantiation based on a virtual disturbance introduced to the actual configuration. The algorithm was successfully applied to remove non-manifold topologies produced by well known algorithms in surface reconstruction.
An integrated system for virtual scene rendering, stereo reconstruction and accuracy estimation
(2006-01-01) Marichal-Hernández, J.G.; Pérez Nava, F.; Rosa, F.; Restrepo, R.; Rodríguez-Ramos, J.M.; Universidad EAFIT. Departamento de Ciencias Básicas; Óptica Aplicada
This article depicts an integrated system capable of generating virtual stereo scenes, reconstructing a three-dimensional map of distances, and calculating the accuracy of the results obtained. This tool is particularly useful for verifying the validity of distance reconstruction techniques, and is robust enough to use in a wide variety of scenarios since it avoids the need for an image-capture system in laboratory simulations. The importance of the distance reconstruction problem lies in the range of its applications: industrial inspection and quality control, surveillance and security, autonomous vehicles, robotic systems, medical image analysis, image databases, virtual reality, telepresence, and telerobotics. The system is based on the VRML standard for three-dimensional geometric scene representation, on OpenGL for rendering virtual scenes, and on the TRW algorithm for the problem of three-dimensional reconstruction. © 2006 IEEE.
Interactive visualization of volumetric data with WebGL in real-time
(2011-01-01) Congote, J.; Segura, A.; Kabongo, L.; Moreno, A.; Posada, J.; Ruiz, O.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAE
This article presents and discusses the implementation of a direct volume rendering system for the Web, which articulates a large portion of the rendering task in the client machine. By placing the rendering emphasis in the local client, our system takes advantage of its power, while at the same time eliminates processing from unreliable bottlenecks (e.g. network). The system developed articulates in efficient manner the capabilities of the recently released WebGL standard, which makes available the accelerated graphic pipeline (formerly unusable). The dependency on specially customized hardware is eliminated, and yet efficient rendering rates are achieved. The Web increasingly competes against desktop applications in many scenarios, but the graphical demands of some of the applications (e.g. interactive scientific visualization by volume rendering), have impeded their successful settlement in Web scenarios. Performance, scalability, accuracy, security are some of the many challenges that must be solved before visual Web applications popularize. In this publication we discuss both performance and scalability of the volume rendering by WebGL ray-casting in two different but challenging application domains: medical imaging and radar meteorology. © 2011 ACM.
mantisGRID: a grid platform for DICOM medical images management in Colombia and Latin America.
(SPRINGER, 2011-04-01) Garcia Ruiz M; García, A.; Ruiz Ibañez C; Gutierrez Mazo JM; Ramirez Giraldo JC; Pelaez Echavarria A; Valencia Diaz E; Pelaez Restrepo G; Montoya Munera EN; Garcia Loaiza B; Gomez Gonzalez S; Universidad EAFIT. Departamento de Ingeniería Mecánica; Bioingeniería GIB (CES – EAFIT)
This paper presents the mantisGRID project, an interinstitutional initiative from Colombian medical and academic centers aiming to provide medical grid services for Colombia and Latin America. The mantisGRID is a GRID platform, based on open source grid infrastructure that provides the necessary services to access and exchange medical images and associated information following digital imaging and communications in medicine (DICOM) and health level 7 standards. The paper focuses first on the data abstraction architecture, which is achieved via Open Grid Services Architecture Data Access and Integration (OGSA-DAI) services and supported by the Globus Toolkit. The grid currently uses a 30-Mb bandwidth of the Colombian High Technology Academic Network, RENATA, connected to Internet 2. It also includes a discussion on the relational database created to handle the DICOM objects that were represented using Extensible Markup Language Schema documents, as well as other features implemented such as data security, user authentication, and patient confidentiality. Grid performance was tested using the three current operative nodes and the results demonstrated comparable query times between the mantisGRID (OGSA-DAI) and Distributed mySQL databases, especially for a large number of records.
mantisGRID: a grid platform for DICOM medical images management in Colombia and Latin America.
(SPRINGER, 2011-04-01) Garcia Ruiz M; García, A.; Ruiz Ibañez C; Gutierrez Mazo JM; Ramirez Giraldo JC; Pelaez Echavarria A; Valencia Diaz E; Pelaez Restrepo G; Montoya Munera EN; Garcia Loaiza B; Gomez Gonzalez S; Garcia Ruiz M; García, A.; Ruiz Ibañez C; Gutierrez Mazo JM; Ramirez Giraldo JC; Pelaez Echavarria A; Valencia Diaz E; Pelaez Restrepo G; Montoya Munera EN; Garcia Loaiza B; Gomez Gonzalez S; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
This paper presents the mantisGRID project, an interinstitutional initiative from Colombian medical and academic centers aiming to provide medical grid services for Colombia and Latin America. The mantisGRID is a GRID platform, based on open source grid infrastructure that provides the necessary services to access and exchange medical images and associated information following digital imaging and communications in medicine (DICOM) and health level 7 standards. The paper focuses first on the data abstraction architecture, which is achieved via Open Grid Services Architecture Data Access and Integration (OGSA-DAI) services and supported by the Globus Toolkit. The grid currently uses a 30-Mb bandwidth of the Colombian High Technology Academic Network, RENATA, connected to Internet 2. It also includes a discussion on the relational database created to handle the DICOM objects that were represented using Extensible Markup Language Schema documents, as well as other features implemented such as data security, user authentication, and patient confidentiality. Grid performance was tested using the three current operative nodes and the results demonstrated comparable query times between the mantisGRID (OGSA-DAI) and Distributed mySQL databases, especially for a large number of records.
Parametric curve reconstruction from point clouds using minimization techniques
(2013-01-01) Ruiz, O.E.; Cortés, C.; Aristizábal, M.; Acosta, D.A.; Vanegas, C.A.; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
Curve reconstruction from noisy point samples is central to surface reconstruction and therefore to reverse engineering, medical imaging, etc. Although Piecewise Linear (PL) curve reconstruction plays an important role, smooth (C1-, C2-,?) curves are needed for many applications. In reconstruction of parametric curves from noisy point samples there remain unsolved issues such as (1) high computational expenses, (2) presence of artifacts and outlier curls, (3) erratic behavior of self-intersecting curves, and (4) erratic excursions at sharp corners. Some of these issues are related to non-Nyquist (i.e. sparse) samples. In response to these shortcomings, this article reports the minimization-based fitting of parametric curves for noisy point clouds. Our approach features: (a) Principal Component Analysis (PCA) pre-processing to obtain a topologically correct approximation of the sampled curve. (b) Numerical, instead of algebraic, calculation of roots in point-to-curve distances. (c) Penalties for curve excursions by using point cloud to - curve and curve to point cloud. (d) Objective functions which are economic to minimize. The implemented algorithms successfully deal with self - intersecting and / or non-Nyquist samples. Ongoing research includes self-tuning of the algorithms and decimation of the point cloud and the control polygon.
Parametric curve reconstruction from point clouds using minimization techniques
(2013-01-01) Ruiz, O.E.; Cortés, C.; Aristizábal, M.; Acosta, D.A.; Vanegas, C.A.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAE
Curve reconstruction from noisy point samples is central to surface reconstruction and therefore to reverse engineering, medical imaging, etc. Although Piecewise Linear (PL) curve reconstruction plays an important role, smooth (C1-, C2-,?) curves are needed for many applications. In reconstruction of parametric curves from noisy point samples there remain unsolved issues such as (1) high computational expenses, (2) presence of artifacts and outlier curls, (3) erratic behavior of self-intersecting curves, and (4) erratic excursions at sharp corners. Some of these issues are related to non-Nyquist (i.e. sparse) samples. In response to these shortcomings, this article reports the minimization-based fitting of parametric curves for noisy point clouds. Our approach features: (a) Principal Component Analysis (PCA) pre-processing to obtain a topologically correct approximation of the sampled curve. (b) Numerical, instead of algebraic, calculation of roots in point-to-curve distances. (c) Penalties for curve excursions by using point cloud to - curve and curve to point cloud. (d) Objective functions which are economic to minimize. The implemented algorithms successfully deal with self - intersecting and / or non-Nyquist samples. Ongoing research includes self-tuning of the algorithms and decimation of the point cloud and the control polygon.

Examinando por Materia "Medical imaging"

Resultados por página

Opciones de ordenación