2019
Authors
Mucheroni, ML; Carvalho, ES; Marcos, AF;
Publication
Revista Espaço Pedagógico
Abstract
2018
Authors
Leitão, R; Rodrigues, JMF; Marcos, AF;
Publication
Advances in Media, Entertainment, and the Arts - Enhancing Art, Culture, and Design With Technological Integration
Abstract
2020
Authors
Fernandes-Marcos, A; Perez, P; Fernandes-Marcos, A;
Publication
Texto Digital
Abstract
2022
Authors
Fernandes Marcos, A; Morgado, L; Alexino Ferreira, R;
Publication
Revista de Estilos de Aprendizaje
Abstract
2008
Authors
Carvalho, E; Marcos, A; Santos, MY; Espregueria Mendes, J;
Publication
IEEE COMPUTER GRAPHICS AND APPLICATIONS
Abstract
A cartographic-oriented model uses algebraic map operations to perform spatial analysis of medical data relative to the human body. A prototype system uses 3D visualization techniques to deliver analysis results. A prototype implementation suggests the model might provide the basis for a medical application tool that introduces new information insight. © 2008 IEEE.
2008
Authors
Carvalho, ES; Marcos, AF; Santos, MY; Espregueira Mendes, J; Pereira, RB;
Publication
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
Abstract
Objective The main goal of the CHUB (cartographic human body) model is to introduce a cartographic approach that can assist the analysis, visualization and diagnosis of medical images and related data. Method Acartographic model is proposed as a reference framework for the development of computer systems and applications. This model accommodates subtle spatial features of these data that may facilitate diagnosis. Medical images and related data are structured into different "human-referenced" information layers. Algebraic map operations are used to combine these layers and achieve greater insights into the information content. Results Two case studies were considered to evaluate and validate the model: hydrokinetic therapy and the diagnosis of knee osteoarthritis. A prototype based on the CHUB model was implemented and two different approaches were performed to test and evaluate it. Full acceptance of the model was achieved by clinicians who used the CHUB system. Conclusion Acartographic model provides a feasible means for analyzing and visualizing medical image and related data. CHUB is a suitable model that may be used as a common framework for systems, applications and/or support tools that analyze and visualize medical images and related data (for example, in disease diagnosis).
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