Matches in SemOpenAlex for { <https://semopenalex.org/work/W2066235970> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2066235970 endingPage "226" @default.
- W2066235970 startingPage "200" @default.
- W2066235970 abstract "The generation of anatomical models is one the most important concern to biomedical researchers as well as to medical doctors, due to needed to understand the human tissues. Is know that the soft tissues like heart, brain, prostate and hard tissues like jaw, bones, skull, etc are structures of complex morphologies, so, the anatomical models generation is not an easy and trivial task. Currently, this task has benefited of advances of imaging diagnostic, which permit obtain cross and longitudinal sections of human body. In this research, we describe a method to obtain 3D discrete models of human body given by a dataset of medical images. Five main modules were implemented in prototype software: (1) Reading and 3D reconstruction of Computerized Axial Tomography and Magnetic Resonance Images. (2) Preprocessing techniques for improve the low medical images quality by using enhancement algorithms to reduce image noise and to increase structures contrast. (3) Combined segmentation techniques for tissue identification, which were applied through a multi-stage approach. (4) Post processing techniques to improve segmented volumes and (5) Exportation task of volumes to readable formats by Computer Aided Design (CAD) tools to be later analyzed by numerical methods. The performance of our method is shown on several medical examples and the techniques were validated using statistical descriptors to compare our models with models from free databases. Results showed that the implemented techniques generate precise and useful models for numerical analysis and medical survey, planning and surgery in a short processing time." @default.
- W2066235970 created "2016-06-24" @default.
- W2066235970 creator A5004964054 @default.
- W2066235970 creator A5036630619 @default.
- W2066235970 creator A5042793485 @default.
- W2066235970 creator A5066596671 @default.
- W2066235970 date "2011-01-01" @default.
- W2066235970 modified "2023-10-14" @default.
- W2066235970 title "Generación de modelos discretos de tejidos del ser humano a través del preprocesamiento y segmentación de imágenes médicas" @default.
- W2066235970 cites W1988462303 @default.
- W2066235970 cites W2005955302 @default.
- W2066235970 cites W2032511339 @default.
- W2066235970 cites W2043806311 @default.
- W2066235970 cites W2094232965 @default.
- W2066235970 cites W2137676365 @default.
- W2066235970 cites W2139161977 @default.
- W2066235970 cites W2147756293 @default.
- W2066235970 cites W2150134853 @default.
- W2066235970 cites W4252306886 @default.
- W2066235970 doi "https://doi.org/10.1016/j.rimni.2011.07.002" @default.
- W2066235970 hasPublicationYear "2011" @default.
- W2066235970 type Work @default.
- W2066235970 sameAs 2066235970 @default.
- W2066235970 citedByCount "7" @default.
- W2066235970 countsByYear W20662359702014 @default.
- W2066235970 countsByYear W20662359702015 @default.
- W2066235970 countsByYear W20662359702016 @default.
- W2066235970 countsByYear W20662359702021 @default.
- W2066235970 countsByYear W20662359702022 @default.
- W2066235970 crossrefType "journal-article" @default.
- W2066235970 hasAuthorship W2066235970A5004964054 @default.
- W2066235970 hasAuthorship W2066235970A5036630619 @default.
- W2066235970 hasAuthorship W2066235970A5042793485 @default.
- W2066235970 hasAuthorship W2066235970A5066596671 @default.
- W2066235970 hasBestOaLocation W20662359701 @default.
- W2066235970 hasConcept C10551718 @default.
- W2066235970 hasConcept C115961682 @default.
- W2066235970 hasConcept C116834253 @default.
- W2066235970 hasConcept C154945302 @default.
- W2066235970 hasConcept C162324750 @default.
- W2066235970 hasConcept C17744445 @default.
- W2066235970 hasConcept C187736073 @default.
- W2066235970 hasConcept C199360897 @default.
- W2066235970 hasConcept C199539241 @default.
- W2066235970 hasConcept C2777904410 @default.
- W2066235970 hasConcept C2780451532 @default.
- W2066235970 hasConcept C31601959 @default.
- W2066235970 hasConcept C34736171 @default.
- W2066235970 hasConcept C41008148 @default.
- W2066235970 hasConcept C554936623 @default.
- W2066235970 hasConcept C59822182 @default.
- W2066235970 hasConcept C86803240 @default.
- W2066235970 hasConcept C89600930 @default.
- W2066235970 hasConcept C99498987 @default.
- W2066235970 hasConceptScore W2066235970C10551718 @default.
- W2066235970 hasConceptScore W2066235970C115961682 @default.
- W2066235970 hasConceptScore W2066235970C116834253 @default.
- W2066235970 hasConceptScore W2066235970C154945302 @default.
- W2066235970 hasConceptScore W2066235970C162324750 @default.
- W2066235970 hasConceptScore W2066235970C17744445 @default.
- W2066235970 hasConceptScore W2066235970C187736073 @default.
- W2066235970 hasConceptScore W2066235970C199360897 @default.
- W2066235970 hasConceptScore W2066235970C199539241 @default.
- W2066235970 hasConceptScore W2066235970C2777904410 @default.
- W2066235970 hasConceptScore W2066235970C2780451532 @default.
- W2066235970 hasConceptScore W2066235970C31601959 @default.
- W2066235970 hasConceptScore W2066235970C34736171 @default.
- W2066235970 hasConceptScore W2066235970C41008148 @default.
- W2066235970 hasConceptScore W2066235970C554936623 @default.
- W2066235970 hasConceptScore W2066235970C59822182 @default.
- W2066235970 hasConceptScore W2066235970C86803240 @default.
- W2066235970 hasConceptScore W2066235970C89600930 @default.
- W2066235970 hasConceptScore W2066235970C99498987 @default.
- W2066235970 hasIssue "3" @default.
- W2066235970 hasLocation W20662359701 @default.
- W2066235970 hasLocation W20662359702 @default.
- W2066235970 hasOpenAccess W2066235970 @default.
- W2066235970 hasPrimaryLocation W20662359701 @default.
- W2066235970 hasRelatedWork W1582206143 @default.
- W2066235970 hasRelatedWork W2021132313 @default.
- W2066235970 hasRelatedWork W2118535142 @default.
- W2066235970 hasRelatedWork W2146083799 @default.
- W2066235970 hasRelatedWork W2382928216 @default.
- W2066235970 hasRelatedWork W2464586606 @default.
- W2066235970 hasRelatedWork W2959862648 @default.
- W2066235970 hasRelatedWork W3006377637 @default.
- W2066235970 hasRelatedWork W3017840285 @default.
- W2066235970 hasRelatedWork W3099940957 @default.
- W2066235970 hasVolume "27" @default.
- W2066235970 isParatext "false" @default.
- W2066235970 isRetracted "false" @default.
- W2066235970 magId "2066235970" @default.
- W2066235970 workType "article" @default.