Matches in SemOpenAlex for { <https://semopenalex.org/work/W3129841729> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3129841729 endingPage "284" @default.
- W3129841729 startingPage "284" @default.
- W3129841729 abstract "<span id=docs-internal-guid-c8cba487-7fff-2314-f38a-f2936a74e0fd><span>Automated segmentation of a tumor is still a considerably exciting research topic in the medical imaging processing field, and it plays a considerable role in forming a right diagnosis, to aid effective medical treatment. In this work, a fully automated system for segmentation of the brain tumor in MRI images is introduced. The suggested system consists of three parts: Initially, the image is pre-processed to enhance contrast, eliminate noise, and strip the skull from the image using filtering and morphological operations. Secondly, segmentation of the image happens using two techniques, fuzzy c-means clustering (FCM) and with the application of a seeded region growing algorithm (SGR). Thirdly, this method proposes a post-processing step to smooth segmentation region edges using morphological operations. The testing of the proposed system involved 233 patients, which included 287 MRI images. A comparison of the results ensued, with the manual verification of the traces performed by doctors, which ultimately proved an average Dice Coefficient of 90.13% and an average Jaccard Coefficient of 82.60% also, by comparison with traditional segmentation techniques such as FCM method. The segmentation results and quantitative data analysis demonstrates the effectiveness of the suggested system.</span></span>" @default.
- W3129841729 created "2021-03-01" @default.
- W3129841729 creator A5080819937 @default.
- W3129841729 date "2021-06-01" @default.
- W3129841729 modified "2023-09-25" @default.
- W3129841729 title "Automated tumor segmentation in MR brain image using fuzzy c-means clustering and seeded region methodology" @default.
- W3129841729 cites W1973880112 @default.
- W3129841729 cites W1987869189 @default.
- W3129841729 cites W2035640334 @default.
- W3129841729 cites W2044359639 @default.
- W3129841729 cites W2096579040 @default.
- W3129841729 cites W2111296785 @default.
- W3129841729 cites W2113076747 @default.
- W3129841729 cites W2123402141 @default.
- W3129841729 cites W2138682339 @default.
- W3129841729 cites W2157493056 @default.
- W3129841729 cites W2182098131 @default.
- W3129841729 cites W2296773656 @default.
- W3129841729 cites W2416025122 @default.
- W3129841729 cites W2544129053 @default.
- W3129841729 cites W2785916021 @default.
- W3129841729 cites W2791566664 @default.
- W3129841729 cites W2899699571 @default.
- W3129841729 cites W2908761411 @default.
- W3129841729 cites W2909580881 @default.
- W3129841729 cites W2997733537 @default.
- W3129841729 cites W67351892 @default.
- W3129841729 doi "https://doi.org/10.11591/ijai.v10.i2.pp284-290" @default.
- W3129841729 hasPublicationYear "2021" @default.
- W3129841729 type Work @default.
- W3129841729 sameAs 3129841729 @default.
- W3129841729 citedByCount "2" @default.
- W3129841729 countsByYear W31298417292022 @default.
- W3129841729 crossrefType "journal-article" @default.
- W3129841729 hasAuthorship W3129841729A5080819937 @default.
- W3129841729 hasBestOaLocation W31298417291 @default.
- W3129841729 hasConcept C115961682 @default.
- W3129841729 hasConcept C124504099 @default.
- W3129841729 hasConcept C153180895 @default.
- W3129841729 hasConcept C154945302 @default.
- W3129841729 hasConcept C163892561 @default.
- W3129841729 hasConcept C203519979 @default.
- W3129841729 hasConcept C206824153 @default.
- W3129841729 hasConcept C31972630 @default.
- W3129841729 hasConcept C41008148 @default.
- W3129841729 hasConcept C58166 @default.
- W3129841729 hasConcept C65885262 @default.
- W3129841729 hasConcept C73555534 @default.
- W3129841729 hasConcept C89600930 @default.
- W3129841729 hasConcept C9417928 @default.
- W3129841729 hasConcept C99498987 @default.
- W3129841729 hasConceptScore W3129841729C115961682 @default.
- W3129841729 hasConceptScore W3129841729C124504099 @default.
- W3129841729 hasConceptScore W3129841729C153180895 @default.
- W3129841729 hasConceptScore W3129841729C154945302 @default.
- W3129841729 hasConceptScore W3129841729C163892561 @default.
- W3129841729 hasConceptScore W3129841729C203519979 @default.
- W3129841729 hasConceptScore W3129841729C206824153 @default.
- W3129841729 hasConceptScore W3129841729C31972630 @default.
- W3129841729 hasConceptScore W3129841729C41008148 @default.
- W3129841729 hasConceptScore W3129841729C58166 @default.
- W3129841729 hasConceptScore W3129841729C65885262 @default.
- W3129841729 hasConceptScore W3129841729C73555534 @default.
- W3129841729 hasConceptScore W3129841729C89600930 @default.
- W3129841729 hasConceptScore W3129841729C9417928 @default.
- W3129841729 hasConceptScore W3129841729C99498987 @default.
- W3129841729 hasIssue "2" @default.
- W3129841729 hasLocation W31298417291 @default.
- W3129841729 hasLocation W31298417292 @default.
- W3129841729 hasOpenAccess W3129841729 @default.
- W3129841729 hasPrimaryLocation W31298417291 @default.
- W3129841729 hasRelatedWork W1507266234 @default.
- W3129841729 hasRelatedWork W1631910785 @default.
- W3129841729 hasRelatedWork W1669643531 @default.
- W3129841729 hasRelatedWork W2069711651 @default.
- W3129841729 hasRelatedWork W2117664411 @default.
- W3129841729 hasRelatedWork W2117933325 @default.
- W3129841729 hasRelatedWork W2159066190 @default.
- W3129841729 hasRelatedWork W2630229246 @default.
- W3129841729 hasRelatedWork W3116883888 @default.
- W3129841729 hasRelatedWork W4315491877 @default.
- W3129841729 hasVolume "10" @default.
- W3129841729 isParatext "false" @default.
- W3129841729 isRetracted "false" @default.
- W3129841729 magId "3129841729" @default.
- W3129841729 workType "article" @default.