FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136605648> ?p ?o ?g. }

• W3136605648 endingPage "2150024" @default.
• W3136605648 startingPage "2150024" @default.
• W3136605648 abstract "In recent times, multi-modal medical image fusion has emerged as an important medical application tool. An important goal is to fuse the multi-modal medical images from diverse imaging modalities into a single fused image. The physicians broadly utilize this for precise identification and treatment of diseases. This medical image fusion approach will help the physician perform the combined diagnosis, interventional treatment, pre-operative planning, and intra-operative guidance in various medical applications by developing the corresponding information from clinical images through different modalities. In this paper, a novel multi-modal medical image fusion method is adopted using the intelligent method. Initially, the images from two different modalities are applied with optimized Dual-Tree Complex Wavelet Transform (DT-CWT) for splitting the images into high-frequency subbands and low-frequency subbands. As an improvement to the conventional DT-CWT, the filter coefficients are optimized by the hybrid meta-heuristic algorithm named as Hybrid Beetle and Salp Swarm Optimization (HBSSO) by merging the Salp Swarm Algorithm (SSA), and Beetle Swarm Optimization (BSO). Moreover, the fusion of the source images’ high-frequency subbands was done by the optimized type-2 Fuzzy Entropy. The upper and lower membership limits are optimized by the same hybrid HBSSO. The optimized type-2 fuzzy Entropy automatically selects high-frequency coefficients. Also, the fusion of the low-frequency sub-images is performed by the Averaging approach. Further, the inverse optimized DT-CWT on the fused image sets helps to obtain the final fused medical image. The main objective of the optimized DT-CWT and optimized type-2 fuzzy Entropy is to maximize the SSIM. The experimental results confirm that the developed approach outperforms the existing fusion algorithms in diverse performance measures." @default.
• W3136605648 created "2021-03-29" @default.
• W3136605648 creator A5007595849 @default.
• W3136605648 creator A5077102476 @default.
• W3136605648 creator A5088565237 @default.
• W3136605648 date "2021-03-18" @default.
• W3136605648 modified "2023-10-15" @default.
• W3136605648 title "OPTIMIZED DUAL-TREE COMPLEX WAVELET TRANSFORM AND FUZZY ENTROPY FOR MULTI-MODAL MEDICAL IMAGE FUSION: A HYBRID META-HEURISTIC CONCEPT" @default.
• W3136605648 cites W1999316653 @default.
• W3136605648 cites W2006282183 @default.
• W3136605648 cites W2015086620 @default.
• W3136605648 cites W2034292245 @default.
• W3136605648 cites W2040040441 @default.
• W3136605648 cites W2066190567 @default.
• W3136605648 cites W2066667210 @default.
• W3136605648 cites W2094689349 @default.
• W3136605648 cites W2173635503 @default.
• W3136605648 cites W2289413700 @default.
• W3136605648 cites W2315092518 @default.
• W3136605648 cites W2338355707 @default.
• W3136605648 cites W2339983363 @default.
• W3136605648 cites W2340035164 @default.
• W3136605648 cites W2346484933 @default.
• W3136605648 cites W2411377185 @default.
• W3136605648 cites W2461851607 @default.
• W3136605648 cites W2590003272 @default.
• W3136605648 cites W2738900493 @default.
• W3136605648 cites W2752169992 @default.
• W3136605648 cites W2783256924 @default.
• W3136605648 cites W2788798270 @default.
• W3136605648 cites W2791019495 @default.
• W3136605648 cites W2796325360 @default.
• W3136605648 cites W2889742298 @default.
• W3136605648 cites W2891209129 @default.
• W3136605648 cites W2900744904 @default.
• W3136605648 cites W2940940727 @default.
• W3136605648 cites W2986188348 @default.
• W3136605648 cites W2990848657 @default.
• W3136605648 cites W2991617172 @default.
• W3136605648 cites W2999333317 @default.
• W3136605648 cites W3007920826 @default.
• W3136605648 doi "https://doi.org/10.1142/s021951942150024x" @default.
• W3136605648 hasPublicationYear "2021" @default.
• W3136605648 type Work @default.
• W3136605648 sameAs 3136605648 @default.
• W3136605648 citedByCount "3" @default.
• W3136605648 countsByYear W31366056482022 @default.
• W3136605648 crossrefType "journal-article" @default.
• W3136605648 hasAuthorship W3136605648A5007595849 @default.
• W3136605648 hasAuthorship W3136605648A5077102476 @default.
• W3136605648 hasAuthorship W3136605648A5088565237 @default.
• W3136605648 hasConcept C106301342 @default.
• W3136605648 hasConcept C115961682 @default.
• W3136605648 hasConcept C121332964 @default.
• W3136605648 hasConcept C153180895 @default.
• W3136605648 hasConcept C154945302 @default.
• W3136605648 hasConcept C185592680 @default.
• W3136605648 hasConcept C188027245 @default.
• W3136605648 hasConcept C196216189 @default.
• W3136605648 hasConcept C2777885455 @default.
• W3136605648 hasConcept C31601959 @default.
• W3136605648 hasConcept C31972630 @default.
• W3136605648 hasConcept C33923547 @default.
• W3136605648 hasConcept C41008148 @default.
• W3136605648 hasConcept C46286280 @default.
• W3136605648 hasConcept C47432892 @default.
• W3136605648 hasConcept C58166 @default.
• W3136605648 hasConcept C62520636 @default.
• W3136605648 hasConcept C69744172 @default.
• W3136605648 hasConcept C71139939 @default.
• W3136605648 hasConceptScore W3136605648C106301342 @default.
• W3136605648 hasConceptScore W3136605648C115961682 @default.
• W3136605648 hasConceptScore W3136605648C121332964 @default.
• W3136605648 hasConceptScore W3136605648C153180895 @default.
• W3136605648 hasConceptScore W3136605648C154945302 @default.
• W3136605648 hasConceptScore W3136605648C185592680 @default.
• W3136605648 hasConceptScore W3136605648C188027245 @default.
• W3136605648 hasConceptScore W3136605648C196216189 @default.
• W3136605648 hasConceptScore W3136605648C2777885455 @default.
• W3136605648 hasConceptScore W3136605648C31601959 @default.
• W3136605648 hasConceptScore W3136605648C31972630 @default.
• W3136605648 hasConceptScore W3136605648C33923547 @default.
• W3136605648 hasConceptScore W3136605648C41008148 @default.
• W3136605648 hasConceptScore W3136605648C46286280 @default.
• W3136605648 hasConceptScore W3136605648C47432892 @default.
• W3136605648 hasConceptScore W3136605648C58166 @default.
• W3136605648 hasConceptScore W3136605648C62520636 @default.
• W3136605648 hasConceptScore W3136605648C69744172 @default.
• W3136605648 hasConceptScore W3136605648C71139939 @default.
• W3136605648 hasIssue "03" @default.
• W3136605648 hasLocation W31366056481 @default.
• W3136605648 hasOpenAccess W3136605648 @default.
• W3136605648 hasPrimaryLocation W31366056481 @default.
• W3136605648 hasRelatedWork W1966376622 @default.
• W3136605648 hasRelatedWork W1988829224 @default.
• W3136605648 hasRelatedWork W2085634775 @default.
• W3136605648 hasRelatedWork W2114666389 @default.
• W3136605648 hasRelatedWork W2146994196 @default.

• next