Matches in SemOpenAlex for { <https://semopenalex.org/work/W2914141014> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2914141014 abstract "Segmentation of the carpal bones (CBs) especially for children above seven years old is a challenging task in computer vision mainly because of poor definitions of the bone contours and the occurrence of the partial overlapping of the bones. Although active contour methods are widely employed in image bone segmentation, they are sensitive to initialization and have limitation in segmenting overlapping objects. Thus, there is a need for a robust segmentation method for bone segmentation. This paper presents an automatic active boundary-based segmentation method, gradient inverse coefficient of variation, based on dynamic programming (DP-GICOV) method to segment carpal bones on radiographic images of children age 5 to 8 years old. A mapping procedure is designed based on a priori knowledge about the natural growth and the arrangement of carpal bones in human body. The accuracy of the DP-GICOV is compared qualitatively and quantitatively with the de-regularized level set (DRLS) and multi-scale gradient vector flow (MGVF) on a dataset of 20 images of carpal bones from University of Southern California. The presented method is capable to detect the bone boundaries fast and accurate. Results show that the DP-GICOV is highly accurate especially for overlapping bones, which is more than 85% in many cases, and it requires minimal user’s intervention. This method has produced a promised result in overcoming both issues faced by active contours method; initialization and overlapping objects." @default.
- W2914141014 created "2019-02-21" @default.
- W2914141014 creator A5019902685 @default.
- W2914141014 creator A5037558966 @default.
- W2914141014 creator A5089681201 @default.
- W2914141014 date "2019-01-27" @default.
- W2914141014 modified "2023-09-24" @default.
- W2914141014 title "Segmentation of Carpal Bones Using Gradient Inverse Coefficient of Variation with Dynamic Programming Method" @default.
- W2914141014 cites W2032035227 @default.
- W2914141014 cites W2040793330 @default.
- W2914141014 cites W2057007626 @default.
- W2914141014 cites W2072248589 @default.
- W2914141014 cites W2105079404 @default.
- W2914141014 cites W2109517492 @default.
- W2914141014 cites W2119049509 @default.
- W2914141014 cites W2131910503 @default.
- W2914141014 cites W2133866056 @default.
- W2914141014 cites W2139440232 @default.
- W2914141014 cites W2157993234 @default.
- W2914141014 cites W2171827933 @default.
- W2914141014 cites W2588062088 @default.
- W2914141014 cites W2611775752 @default.
- W2914141014 cites W885013773 @default.
- W2914141014 doi "https://doi.org/10.18517/ijaseit.9.1.4455" @default.
- W2914141014 hasPublicationYear "2019" @default.
- W2914141014 type Work @default.
- W2914141014 sameAs 2914141014 @default.
- W2914141014 citedByCount "0" @default.
- W2914141014 crossrefType "journal-article" @default.
- W2914141014 hasAuthorship W2914141014A5019902685 @default.
- W2914141014 hasAuthorship W2914141014A5037558966 @default.
- W2914141014 hasAuthorship W2914141014A5089681201 @default.
- W2914141014 hasConcept C105702510 @default.
- W2914141014 hasConcept C114466953 @default.
- W2914141014 hasConcept C124504099 @default.
- W2914141014 hasConcept C134306372 @default.
- W2914141014 hasConcept C153180895 @default.
- W2914141014 hasConcept C154945302 @default.
- W2914141014 hasConcept C199360897 @default.
- W2914141014 hasConcept C20749125 @default.
- W2914141014 hasConcept C2778216619 @default.
- W2914141014 hasConcept C2779789666 @default.
- W2914141014 hasConcept C31972630 @default.
- W2914141014 hasConcept C33923547 @default.
- W2914141014 hasConcept C41008148 @default.
- W2914141014 hasConcept C62354387 @default.
- W2914141014 hasConcept C71924100 @default.
- W2914141014 hasConcept C89600930 @default.
- W2914141014 hasConceptScore W2914141014C105702510 @default.
- W2914141014 hasConceptScore W2914141014C114466953 @default.
- W2914141014 hasConceptScore W2914141014C124504099 @default.
- W2914141014 hasConceptScore W2914141014C134306372 @default.
- W2914141014 hasConceptScore W2914141014C153180895 @default.
- W2914141014 hasConceptScore W2914141014C154945302 @default.
- W2914141014 hasConceptScore W2914141014C199360897 @default.
- W2914141014 hasConceptScore W2914141014C20749125 @default.
- W2914141014 hasConceptScore W2914141014C2778216619 @default.
- W2914141014 hasConceptScore W2914141014C2779789666 @default.
- W2914141014 hasConceptScore W2914141014C31972630 @default.
- W2914141014 hasConceptScore W2914141014C33923547 @default.
- W2914141014 hasConceptScore W2914141014C41008148 @default.
- W2914141014 hasConceptScore W2914141014C62354387 @default.
- W2914141014 hasConceptScore W2914141014C71924100 @default.
- W2914141014 hasConceptScore W2914141014C89600930 @default.
- W2914141014 hasLocation W29141410141 @default.
- W2914141014 hasOpenAccess W2914141014 @default.
- W2914141014 hasPrimaryLocation W29141410141 @default.
- W2914141014 hasRelatedWork W2008268297 @default.
- W2914141014 hasRelatedWork W2011571051 @default.
- W2914141014 hasRelatedWork W2030131924 @default.
- W2914141014 hasRelatedWork W2133896549 @default.
- W2914141014 hasRelatedWork W2157822554 @default.
- W2914141014 hasRelatedWork W2335750223 @default.
- W2914141014 hasRelatedWork W2544543118 @default.
- W2914141014 hasRelatedWork W2756003051 @default.
- W2914141014 hasRelatedWork W2767101570 @default.
- W2914141014 hasRelatedWork W2141334737 @default.
- W2914141014 isParatext "false" @default.
- W2914141014 isRetracted "false" @default.
- W2914141014 magId "2914141014" @default.
- W2914141014 workType "article" @default.