| dc.creator | La Cruz Puente Alexandra | |
| dc.date | 2018-01-11T16:47:34Z | |
| dc.date | 2018-01-11T16:47:34Z | |
| dc.date | 2014-10-14 | |
| dc.date | info:eu-repo/date/embargoEnd/2022-01-01 0:00 | |
| dc.date.accessioned | 2018-03-14T20:32:28Z | |
| dc.date.available | 2018-03-14T20:32:28Z | |
| dc.identifier | 9781628413625 | |
| dc.identifier | 16057422 | |
| dc.identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923067790&doi=10.1117%2f12.2073826&partnerID=40&md5=e9ee9432fc7ddc69371931e44a30a334 | |
| dc.identifier | http://dspace.ucuenca.edu.ec/handle/123456789/29155 | |
| dc.identifier | 10.1117/12.2073826 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1136057 | |
| dc.description | SemVisM is a toolbox that combines medical informatics and computer graphics tools for reducing the semantic gap between low-level features and high-level semantic concepts/terms in the images. This paper presents a novel strategy for visualizing medical data annotated semantically combining rendering techniques, and segmentation algorithms. SemVisM comprises two main components: i) AMORE (A Modest vOlume REgister) to handle input data (RAW, DAT or DICOM) and to initially annotate the images using terms defined on medical ontologies (e.g., MesH, FMA or RadLex), and ii) VOLPROB (VOlume PRObability Builder) for generating the annotated volumetric data containing the classified voxels that belong to a particular tissue. SemVisM is built on top of the semantic visualizer ANISE. | |
| dc.description | Cartagena de Indias | |
| dc.language | en_US | |
| dc.publisher | SPIE | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ | |
| dc.source | instname:Universidad de Cuenca | |
| dc.source | reponame:Repositorio Digital de la Universidad de Cuenca | |
| dc.source | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | |
| dc.subject | Medical Ontologies | |
| dc.subject | Semantic Annotation | |
| dc.subject | Semantic Segmentation | |
| dc.subject | Semantic Visualization | |
| dc.title | SemVisM: Semantic visualizer for medical image | |
| dc.type | Artículos de revistas | |
