FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2916162629> ?p ?o ?g. }

• W2916162629 endingPage "302" @default.
• W2916162629 startingPage "273" @default.
• W2916162629 abstract "In this paper, we describe a novel mammogram classification framework for classifying breast tissues as normal, benign or malignant. First, we establish a set of symbolic rules for mammograms pre-classification from the particularities of a tissue (the background, class and severity of abnormality) taking into account the different forms of breast according to their abnormality. A decision tree reflecting a preliminary attribution from the region of interest (ROI) of a mammogram represents this pre-classification. The images obtained by this technique are processed with an anisotropic diffusion filter to reduce the noise and preserve edges. Then, a feature matrix is generated using: on the one hand, textural features from both a Gray Level Co-occurrence Matrix (GLCM) and a Gray Level Run Lengths Matrix (GLRLM) applied to all the filtered regions of interest (ROI) of a mammogram; and on the other, after mass region is segmented out, the features extracted from the mass boundary and the margin region between the mass and background for classification. To derive the relevant features from the feature matrix, we resort to RELIEF and MRMR feature selection method separately. The key point of our proposal is the modeling of Back Propagation Neural Network (BPNN) by a network of queues for representing the textural and morphological properties of the masses. The relevant and ordered features are injected in BPNN classifier using queuing network. The standard database MIAS is used for validation of the proposed scheme. In any case, we observed that the opening of closed neural network improves the performance. However, the MRMR feature selection method outperforms RELIEF one the point of view of precision and area under curve of receiver operating characteristic. These measures are respectively 98.1% and0.9650 for normal vs. abnormal classification, whereas, they are respectively 95.2% and 0.9200 for benign vs. malignant classification." @default.
• W2916162629 created "2019-03-02" @default.
• W2916162629 creator A5003513454 @default.
• W2916162629 creator A5043222074 @default.
• W2916162629 creator A5060028321 @default.
• W2916162629 date "2019-02-23" @default.
• W2916162629 modified "2023-09-23" @default.
• W2916162629 title "Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features" @default.
• W2916162629 cites W1974883251 @default.
• W2916162629 cites W1977618291 @default.
• W2916162629 cites W1994899130 @default.
• W2916162629 cites W2000646906 @default.
• W2916162629 cites W2020040086 @default.
• W2916162629 cites W2031386566 @default.
• W2916162629 cites W2038207774 @default.
• W2916162629 cites W2044465660 @default.
• W2916162629 cites W2055783626 @default.
• W2916162629 cites W2056555375 @default.
• W2916162629 cites W2059331675 @default.
• W2916162629 cites W2059432853 @default.
• W2916162629 cites W2063209544 @default.
• W2916162629 cites W2070644180 @default.
• W2916162629 cites W2071379872 @default.
• W2916162629 cites W2076360002 @default.
• W2916162629 cites W2078569477 @default.
• W2916162629 cites W2091415346 @default.
• W2916162629 cites W2100277359 @default.
• W2916162629 cites W2103233037 @default.
• W2916162629 cites W2108947279 @default.
• W2916162629 cites W2113115183 @default.
• W2916162629 cites W2118561126 @default.
• W2916162629 cites W2122925473 @default.
• W2916162629 cites W2122999192 @default.
• W2916162629 cites W2131765857 @default.
• W2916162629 cites W2144854846 @default.
• W2916162629 cites W2150134853 @default.
• W2916162629 cites W2154053567 @default.
• W2916162629 cites W2167536222 @default.
• W2916162629 cites W2170633497 @default.
• W2916162629 cites W2190743529 @default.
• W2916162629 cites W2219446152 @default.
• W2916162629 cites W2288062769 @default.
• W2916162629 cites W2313411188 @default.
• W2916162629 cites W2573215997 @default.
• W2916162629 cites W2599897974 @default.
• W2916162629 cites W2616206252 @default.
• W2916162629 cites W2776509816 @default.
• W2916162629 cites W2781632374 @default.
• W2916162629 cites W2790937758 @default.
• W2916162629 cites W2809545281 @default.
• W2916162629 cites W4212922449 @default.
• W2916162629 cites W4237389697 @default.
• W2916162629 cites W4249247926 @default.
• W2916162629 doi "https://doi.org/10.1007/s12530-019-09270-z" @default.
• W2916162629 hasPublicationYear "2019" @default.
• W2916162629 type Work @default.
• W2916162629 sameAs 2916162629 @default.
• W2916162629 citedByCount "7" @default.
• W2916162629 countsByYear W29161626292020 @default.
• W2916162629 countsByYear W29161626292021 @default.
• W2916162629 countsByYear W29161626292022 @default.
• W2916162629 countsByYear W29161626292023 @default.
• W2916162629 crossrefType "journal-article" @default.
• W2916162629 hasAuthorship W2916162629A5003513454 @default.
• W2916162629 hasAuthorship W2916162629A5043222074 @default.
• W2916162629 hasAuthorship W2916162629A5060028321 @default.
• W2916162629 hasBestOaLocation W29161626291 @default.
• W2916162629 hasConcept C115961682 @default.
• W2916162629 hasConcept C121608353 @default.
• W2916162629 hasConcept C126322002 @default.
• W2916162629 hasConcept C153180895 @default.
• W2916162629 hasConcept C154945302 @default.
• W2916162629 hasConcept C15744967 @default.
• W2916162629 hasConcept C19609008 @default.
• W2916162629 hasConcept C203504353 @default.
• W2916162629 hasConcept C2780472235 @default.
• W2916162629 hasConcept C41008148 @default.
• W2916162629 hasConcept C50644808 @default.
• W2916162629 hasConcept C50965678 @default.
• W2916162629 hasConcept C530470458 @default.
• W2916162629 hasConcept C71924100 @default.
• W2916162629 hasConcept C77805123 @default.
• W2916162629 hasConcept C95623464 @default.
• W2916162629 hasConceptScore W2916162629C115961682 @default.
• W2916162629 hasConceptScore W2916162629C121608353 @default.
• W2916162629 hasConceptScore W2916162629C126322002 @default.
• W2916162629 hasConceptScore W2916162629C153180895 @default.
• W2916162629 hasConceptScore W2916162629C154945302 @default.
• W2916162629 hasConceptScore W2916162629C15744967 @default.
• W2916162629 hasConceptScore W2916162629C19609008 @default.
• W2916162629 hasConceptScore W2916162629C203504353 @default.
• W2916162629 hasConceptScore W2916162629C2780472235 @default.
• W2916162629 hasConceptScore W2916162629C41008148 @default.
• W2916162629 hasConceptScore W2916162629C50644808 @default.
• W2916162629 hasConceptScore W2916162629C50965678 @default.
• W2916162629 hasConceptScore W2916162629C530470458 @default.
• W2916162629 hasConceptScore W2916162629C71924100 @default.
• W2916162629 hasConceptScore W2916162629C77805123 @default.

• next