FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2909190480> ?p ?o ?g. }

• W2909190480 abstract "Context: Medical imaging technologies are an indispensable tool in medicine today developed to satisfy the significant demand for information on medical imaging by visualizing internal organs for clinical analysis. This enables the radiologists and clinicians to accurately understand the patient’s condition and makes medical practices easier, more effective for patients, and cheaper for the healthcare system. Objective: The current study aimed at presenting a comprehensive review on the recent classification and segmentation techniques of brain tumors in magnetic resonance image (MRI). Data Source: Google Scholar, ScienceDirect, Web of Knowledge, Springer, and manual search of reference lists from 1990 to 2018. Inclusion Criteria: The current study considered brain tumors since they are relatively less common and more important compared with other tumors due to their high morbidity rate. Results: Many automated brain tumors segmentation algorithms of magnetic resonance imaging (MRI) were reviewed and discussed including their advantages and limitations to provide a clear insight into these algorithms. The review concentratedon the state-of-art methods of segmentation of MRI brain tumors since they attracted a significant attention in the recent two decades resulting in many algorithms being developed for automated, semi-automated, and interactive segmentation of brain tumors. While there is a significant development of segmentation algorithms, they are rarely used clinically due to lack of interaction between developers and clinicians. Conclusions: Most studies did not consider grading of brain tumors and did not distinguish to which grade the brain tumor belonged. This enables the developers to understand how the margins of brain tumors appear in medical images. Limitations: The most important limitations that make brain tumors segmentation remaina challenging task are the variety of the shape and intensity of tumors in addition to the probability of inhomogeneity of tumorous tissue." @default.
• W2909190480 created "2019-01-25" @default.
• W2909190480 creator A5022613437 @default.
• W2909190480 creator A5083362570 @default.
• W2909190480 date "2019-01-19" @default.
• W2909190480 modified "2023-10-17" @default.
• W2909190480 title "Magnetic Resonance Imaging Segmentation Techniques of Brain Tumors: A Review" @default.
• W2909190480 cites W1495623034 @default.
• W2909190480 cites W1586335931 @default.
• W2909190480 cites W1605402858 @default.
• W2909190480 cites W1641498739 @default.
• W2909190480 cites W1815337875 @default.
• W2909190480 cites W1884191083 @default.
• W2909190480 cites W1984199710 @default.
• W2909190480 cites W1989102171 @default.
• W2909190480 cites W2028158228 @default.
• W2909190480 cites W2040017661 @default.
• W2909190480 cites W2063552084 @default.
• W2909190480 cites W2081401978 @default.
• W2909190480 cites W2085770918 @default.
• W2909190480 cites W2096505829 @default.
• W2909190480 cites W2111569206 @default.
• W2909190480 cites W2131207508 @default.
• W2909190480 cites W2156819509 @default.
• W2909190480 cites W2339434660 @default.
• W2909190480 cites W2403729827 @default.
• W2909190480 cites W2417694398 @default.
• W2909190480 cites W2521587260 @default.
• W2909190480 cites W2551285838 @default.
• W2909190480 cites W2598131360 @default.
• W2909190480 cites W2744130673 @default.
• W2909190480 cites W2758296928 @default.
• W2909190480 cites W2805429653 @default.
• W2909190480 cites W327966182 @default.
• W2909190480 cites W644928869 @default.
• W2909190480 doi "https://doi.org/10.5812/ans.84920" @default.
• W2909190480 hasPublicationYear "2019" @default.
• W2909190480 type Work @default.
• W2909190480 sameAs 2909190480 @default.
• W2909190480 citedByCount "11" @default.
• W2909190480 countsByYear W29091904802019 @default.
• W2909190480 countsByYear W29091904802020 @default.
• W2909190480 countsByYear W29091904802022 @default.
• W2909190480 countsByYear W29091904802023 @default.
• W2909190480 crossrefType "journal-article" @default.
• W2909190480 hasAuthorship W2909190480A5022613437 @default.
• W2909190480 hasAuthorship W2909190480A5083362570 @default.
• W2909190480 hasBestOaLocation W29091904801 @default.
• W2909190480 hasConcept C119857082 @default.
• W2909190480 hasConcept C124504099 @default.
• W2909190480 hasConcept C126838900 @default.
• W2909190480 hasConcept C127413603 @default.
• W2909190480 hasConcept C142724271 @default.
• W2909190480 hasConcept C143409427 @default.
• W2909190480 hasConcept C147176958 @default.
• W2909190480 hasConcept C151730666 @default.
• W2909190480 hasConcept C154945302 @default.
• W2909190480 hasConcept C19527891 @default.
• W2909190480 hasConcept C2777286243 @default.
• W2909190480 hasConcept C2779130545 @default.
• W2909190480 hasConcept C2779343474 @default.
• W2909190480 hasConcept C2779370443 @default.
• W2909190480 hasConcept C31601959 @default.
• W2909190480 hasConcept C41008148 @default.
• W2909190480 hasConcept C71924100 @default.
• W2909190480 hasConcept C86803240 @default.
• W2909190480 hasConcept C89600930 @default.
• W2909190480 hasConceptScore W2909190480C119857082 @default.
• W2909190480 hasConceptScore W2909190480C124504099 @default.
• W2909190480 hasConceptScore W2909190480C126838900 @default.
• W2909190480 hasConceptScore W2909190480C127413603 @default.
• W2909190480 hasConceptScore W2909190480C142724271 @default.
• W2909190480 hasConceptScore W2909190480C143409427 @default.
• W2909190480 hasConceptScore W2909190480C147176958 @default.
• W2909190480 hasConceptScore W2909190480C151730666 @default.
• W2909190480 hasConceptScore W2909190480C154945302 @default.
• W2909190480 hasConceptScore W2909190480C19527891 @default.
• W2909190480 hasConceptScore W2909190480C2777286243 @default.
• W2909190480 hasConceptScore W2909190480C2779130545 @default.
• W2909190480 hasConceptScore W2909190480C2779343474 @default.
• W2909190480 hasConceptScore W2909190480C2779370443 @default.
• W2909190480 hasConceptScore W2909190480C31601959 @default.
• W2909190480 hasConceptScore W2909190480C41008148 @default.
• W2909190480 hasConceptScore W2909190480C71924100 @default.
• W2909190480 hasConceptScore W2909190480C86803240 @default.
• W2909190480 hasConceptScore W2909190480C89600930 @default.
• W2909190480 hasIssue "Brain Mapping" @default.
• W2909190480 hasLocation W29091904801 @default.
• W2909190480 hasOpenAccess W2909190480 @default.
• W2909190480 hasPrimaryLocation W29091904801 @default.
• W2909190480 hasRelatedWork W2015544363 @default.
• W2909190480 hasRelatedWork W2054999537 @default.
• W2909190480 hasRelatedWork W2068731712 @default.
• W2909190480 hasRelatedWork W2998331930 @default.
• W2909190480 hasRelatedWork W3011844840 @default.
• W2909190480 hasRelatedWork W3109588240 @default.
• W2909190480 hasRelatedWork W3192472213 @default.
• W2909190480 hasRelatedWork W4205263279 @default.
• W2909190480 hasRelatedWork W4285347440 @default.
• W2909190480 hasRelatedWork W4313590647 @default.

• next