Matches in SemOpenAlex for { <https://semopenalex.org/work/W1991709726> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W1991709726 abstract "Breast cancer is one of the main causes of death among women worldwide. Mammography is an effective imaging modality for early diagnosis of breast cancer. Understanding the nature of data in breast images is very important for developing a model that fits well the data. Gaussian distribution is widely used for modeling the data in breast images but due to the asymmetric nature of the distribution of gray levels in mammogram, Gamma distribution is more suitable. Exploiting Gamma distribution for modeling the k-mean method, we developed an efficient technique for the segmentation of mammograms. The approach was tested over several images taken from mini-MIAS (Mammogram Image Analysis Society, UK) database. The experimental results on mammogram images using this technique showed improvement in the accuracy of breast segmentation for breast cancer detection." @default.
- W1991709726 created "2016-06-24" @default.
- W1991709726 creator A5043393776 @default.
- W1991709726 creator A5051804202 @default.
- W1991709726 creator A5073172342 @default.
- W1991709726 creator A5077365916 @default.
- W1991709726 date "2012-05-01" @default.
- W1991709726 modified "2023-10-02" @default.
- W1991709726 title "Breast segmentation using k-means algorithm with a mixture of gamma distributions" @default.
- W1991709726 cites W1546593206 @default.
- W1991709726 cites W1864285797 @default.
- W1991709726 cites W2012684637 @default.
- W1991709726 cites W2027328448 @default.
- W1991709726 cites W2029235040 @default.
- W1991709726 cites W2052828511 @default.
- W1991709726 cites W2054623389 @default.
- W1991709726 cites W2113896103 @default.
- W1991709726 cites W2276098625 @default.
- W1991709726 doi "https://doi.org/10.1109/relabira.2012.6235102" @default.
- W1991709726 hasPublicationYear "2012" @default.
- W1991709726 type Work @default.
- W1991709726 sameAs 1991709726 @default.
- W1991709726 citedByCount "15" @default.
- W1991709726 countsByYear W19917097262015 @default.
- W1991709726 countsByYear W19917097262017 @default.
- W1991709726 countsByYear W19917097262018 @default.
- W1991709726 countsByYear W19917097262019 @default.
- W1991709726 countsByYear W19917097262021 @default.
- W1991709726 countsByYear W19917097262022 @default.
- W1991709726 countsByYear W19917097262023 @default.
- W1991709726 crossrefType "proceedings-article" @default.
- W1991709726 hasAuthorship W1991709726A5043393776 @default.
- W1991709726 hasAuthorship W1991709726A5051804202 @default.
- W1991709726 hasAuthorship W1991709726A5073172342 @default.
- W1991709726 hasAuthorship W1991709726A5077365916 @default.
- W1991709726 hasConcept C105795698 @default.
- W1991709726 hasConcept C11413529 @default.
- W1991709726 hasConcept C121332964 @default.
- W1991709726 hasConcept C121608353 @default.
- W1991709726 hasConcept C124504099 @default.
- W1991709726 hasConcept C126322002 @default.
- W1991709726 hasConcept C149717495 @default.
- W1991709726 hasConcept C153180895 @default.
- W1991709726 hasConcept C154945302 @default.
- W1991709726 hasConcept C163716315 @default.
- W1991709726 hasConcept C2780472235 @default.
- W1991709726 hasConcept C31972630 @default.
- W1991709726 hasConcept C33923547 @default.
- W1991709726 hasConcept C41008148 @default.
- W1991709726 hasConcept C530470458 @default.
- W1991709726 hasConcept C61224824 @default.
- W1991709726 hasConcept C62520636 @default.
- W1991709726 hasConcept C71924100 @default.
- W1991709726 hasConcept C89600930 @default.
- W1991709726 hasConceptScore W1991709726C105795698 @default.
- W1991709726 hasConceptScore W1991709726C11413529 @default.
- W1991709726 hasConceptScore W1991709726C121332964 @default.
- W1991709726 hasConceptScore W1991709726C121608353 @default.
- W1991709726 hasConceptScore W1991709726C124504099 @default.
- W1991709726 hasConceptScore W1991709726C126322002 @default.
- W1991709726 hasConceptScore W1991709726C149717495 @default.
- W1991709726 hasConceptScore W1991709726C153180895 @default.
- W1991709726 hasConceptScore W1991709726C154945302 @default.
- W1991709726 hasConceptScore W1991709726C163716315 @default.
- W1991709726 hasConceptScore W1991709726C2780472235 @default.
- W1991709726 hasConceptScore W1991709726C31972630 @default.
- W1991709726 hasConceptScore W1991709726C33923547 @default.
- W1991709726 hasConceptScore W1991709726C41008148 @default.
- W1991709726 hasConceptScore W1991709726C530470458 @default.
- W1991709726 hasConceptScore W1991709726C61224824 @default.
- W1991709726 hasConceptScore W1991709726C62520636 @default.
- W1991709726 hasConceptScore W1991709726C71924100 @default.
- W1991709726 hasConceptScore W1991709726C89600930 @default.
- W1991709726 hasLocation W19917097261 @default.
- W1991709726 hasOpenAccess W1991709726 @default.
- W1991709726 hasPrimaryLocation W19917097261 @default.
- W1991709726 hasRelatedWork W1669643531 @default.
- W1991709726 hasRelatedWork W1982826852 @default.
- W1991709726 hasRelatedWork W2005437358 @default.
- W1991709726 hasRelatedWork W2008656436 @default.
- W1991709726 hasRelatedWork W2023558673 @default.
- W1991709726 hasRelatedWork W2110230079 @default.
- W1991709726 hasRelatedWork W2134924024 @default.
- W1991709726 hasRelatedWork W2517104666 @default.
- W1991709726 hasRelatedWork W2613186388 @default.
- W1991709726 hasRelatedWork W1967061043 @default.
- W1991709726 isParatext "false" @default.
- W1991709726 isRetracted "false" @default.
- W1991709726 magId "1991709726" @default.
- W1991709726 workType "article" @default.