Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313531937> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4313531937 endingPage "104525" @default.
- W4313531937 startingPage "104525" @default.
- W4313531937 abstract "A number of groundbreaking computer-aided techniques have recently been established for the segmentation of retinal vessels, with clinical applications predominating. Early detection of these abnormalities is critical in preventing individuals from becoming blind. In recent days, automatic vessel segmentation is necessary, but it is a difficult task due to the complex structure and variation in vessel size and shape of retinal vessels. Therefore, in this work, a novel retinal Blood Vessel Segmentation (BVS) has been proposed that utilizes the potential of the Enhanced Fuzzy C-mean Clustering (EFCM) and Root Guided Decision Tree (RGTC). Initially, the input images are pre-processed to enhance the color channel contrast and the Gabor filter is utilized to enhance the small vessels. In the segmentation phase, a 13-dimensional feature vector is constructed, which is then reduced into an optimum feature set by utilizing Principal Component Analysis (PCA). The segmentation phase is utilized to further process the new feature vector. The RGDT is used to undertake reanalysis in non-vessel clusters in order to recover the incorrectly grouped vessel pixels. Finally, the accurate segmented image is obtained through post-processing morphological operations. Simulation has been performed using Python with OpenCV and an accuracy of 97.69% and 97.51% has been achieved using in STARE dataset and DRIVE dataset respectively. Experimental results indicate that the proposed algorithm delivers satisfactory results. As a result, this method is useful as an automated retinal BVS system to assist ophthalmologists." @default.
- W4313531937 created "2023-01-06" @default.
- W4313531937 creator A5033692830 @default.
- W4313531937 creator A5062911911 @default.
- W4313531937 date "2023-04-01" @default.
- W4313531937 modified "2023-10-01" @default.
- W4313531937 title "Retinal blood vessel segmentation using root Guided decision tree assisted enhanced Fuzzy C-mean clustering for disease identification" @default.
- W4313531937 cites W2063603851 @default.
- W4313531937 cites W2071965987 @default.
- W4313531937 cites W2078239496 @default.
- W4313531937 cites W2762941258 @default.
- W4313531937 cites W2784956235 @default.
- W4313531937 cites W2792110043 @default.
- W4313531937 cites W2799480938 @default.
- W4313531937 cites W2894526615 @default.
- W4313531937 cites W2898639891 @default.
- W4313531937 cites W2923524561 @default.
- W4313531937 cites W2946570412 @default.
- W4313531937 cites W2982297179 @default.
- W4313531937 cites W2982608860 @default.
- W4313531937 cites W2991564428 @default.
- W4313531937 cites W3025177399 @default.
- W4313531937 cites W3048209253 @default.
- W4313531937 cites W3048451585 @default.
- W4313531937 cites W3084093797 @default.
- W4313531937 cites W3091119025 @default.
- W4313531937 cites W3094504384 @default.
- W4313531937 cites W3107333872 @default.
- W4313531937 cites W3123543052 @default.
- W4313531937 cites W3126984895 @default.
- W4313531937 cites W3128766738 @default.
- W4313531937 cites W3139489160 @default.
- W4313531937 cites W3155737436 @default.
- W4313531937 cites W3168487770 @default.
- W4313531937 cites W3168917171 @default.
- W4313531937 cites W3209695820 @default.
- W4313531937 cites W4212883601 @default.
- W4313531937 doi "https://doi.org/10.1016/j.bspc.2022.104525" @default.
- W4313531937 hasPublicationYear "2023" @default.
- W4313531937 type Work @default.
- W4313531937 citedByCount "2" @default.
- W4313531937 countsByYear W43135319372023 @default.
- W4313531937 crossrefType "journal-article" @default.
- W4313531937 hasAuthorship W4313531937A5033692830 @default.
- W4313531937 hasAuthorship W4313531937A5062911911 @default.
- W4313531937 hasConcept C113174947 @default.
- W4313531937 hasConcept C134306372 @default.
- W4313531937 hasConcept C138885662 @default.
- W4313531937 hasConcept C153180895 @default.
- W4313531937 hasConcept C154945302 @default.
- W4313531937 hasConcept C160633673 @default.
- W4313531937 hasConcept C2776401178 @default.
- W4313531937 hasConcept C2779883129 @default.
- W4313531937 hasConcept C31972630 @default.
- W4313531937 hasConcept C33923547 @default.
- W4313531937 hasConcept C41008148 @default.
- W4313531937 hasConcept C41895202 @default.
- W4313531937 hasConcept C52622490 @default.
- W4313531937 hasConcept C73555534 @default.
- W4313531937 hasConcept C83665646 @default.
- W4313531937 hasConcept C89600930 @default.
- W4313531937 hasConceptScore W4313531937C113174947 @default.
- W4313531937 hasConceptScore W4313531937C134306372 @default.
- W4313531937 hasConceptScore W4313531937C138885662 @default.
- W4313531937 hasConceptScore W4313531937C153180895 @default.
- W4313531937 hasConceptScore W4313531937C154945302 @default.
- W4313531937 hasConceptScore W4313531937C160633673 @default.
- W4313531937 hasConceptScore W4313531937C2776401178 @default.
- W4313531937 hasConceptScore W4313531937C2779883129 @default.
- W4313531937 hasConceptScore W4313531937C31972630 @default.
- W4313531937 hasConceptScore W4313531937C33923547 @default.
- W4313531937 hasConceptScore W4313531937C41008148 @default.
- W4313531937 hasConceptScore W4313531937C41895202 @default.
- W4313531937 hasConceptScore W4313531937C52622490 @default.
- W4313531937 hasConceptScore W4313531937C73555534 @default.
- W4313531937 hasConceptScore W4313531937C83665646 @default.
- W4313531937 hasConceptScore W4313531937C89600930 @default.
- W4313531937 hasLocation W43135319371 @default.
- W4313531937 hasOpenAccess W4313531937 @default.
- W4313531937 hasPrimaryLocation W43135319371 @default.
- W4313531937 hasRelatedWork W1977222486 @default.
- W4313531937 hasRelatedWork W2025557471 @default.
- W4313531937 hasRelatedWork W2139727660 @default.
- W4313531937 hasRelatedWork W2385132419 @default.
- W4313531937 hasRelatedWork W2391959412 @default.
- W4313531937 hasRelatedWork W2546942002 @default.
- W4313531937 hasRelatedWork W2772780115 @default.
- W4313531937 hasRelatedWork W2786030547 @default.
- W4313531937 hasRelatedWork W2883887418 @default.
- W4313531937 hasRelatedWork W2889989850 @default.
- W4313531937 hasVolume "82" @default.
- W4313531937 isParatext "false" @default.
- W4313531937 isRetracted "false" @default.
- W4313531937 workType "article" @default.