{"id":"https://openalex.org/W3121482240","doi":"https://doi.org/10.1142/s0219467821500340","title":"MR Brain Image Segmentation to Detect White Matter, Gray Matter, and Cerebro Spinal Fluid Using TLBO Algorithm","display_name":"MR Brain Image Segmentation to Detect White Matter, Gray Matter, and Cerebro Spinal Fluid Using TLBO Algorithm","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3121482240","doi":"https://doi.org/10.1142/s0219467821500340","mag":"3121482240"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821500340","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500340","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sandhya Gudise","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126787","display_name":"Andhra Pradesh Forest Department","ror":"https://ror.org/02xr5ws27","country_code":"IN","type":"government","lineage":["https://openalex.org/I2800401362","https://openalex.org/I4210126787"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sandhya Gudise","raw_affiliation_strings":["Department of ECE, VNITSW Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, VNITSW Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210126787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072697866","display_name":"Giri Babu Kande","orcid":"https://orcid.org/0000-0001-8733-3104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giri Babu Kande","raw_affiliation_strings":["Department of ECE, VVIT, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, VVIT, Guntur, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067326005","display_name":"T. Satya Savithri","orcid":"https://orcid.org/0000-0003-4373-7136"},"institutions":[{"id":"https://openalex.org/I10874241","display_name":"Jawaharlal Nehru Technological University, Hyderabad","ror":"https://ror.org/002tchr49","country_code":"IN","type":"education","lineage":["https://openalex.org/I10874241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Satya Savithri","raw_affiliation_strings":["Department of ECE, JNTUCE, Hyderabad, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, JNTUCE, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I10874241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210126787"],"apc_list":null,"apc_paid":null,"fwci":0.1942,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45701869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"03","first_page":"2150034","last_page":"2150034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6683154106140137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6307253241539001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6212297081947327},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5570933818817139},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5059391856193542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4893195331096649},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47135868668556213},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4466260075569153},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.43658286333084106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4073237478733063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3500196635723114},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3126845359802246}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6683154106140137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6307253241539001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212297081947327},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5570933818817139},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5059391856193542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4893195331096649},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47135868668556213},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4466260075569153},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.43658286333084106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4073237478733063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3500196635723114},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3126845359802246},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821500340","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500340","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1512418237","https://openalex.org/W1980728516","https://openalex.org/W1981166861","https://openalex.org/W1983643579","https://openalex.org/W1989806566","https://openalex.org/W1999284878","https://openalex.org/W2001422417","https://openalex.org/W2010807377","https://openalex.org/W2015014337","https://openalex.org/W2021253717","https://openalex.org/W2021707668","https://openalex.org/W2021905979","https://openalex.org/W2031921391","https://openalex.org/W2037031008","https://openalex.org/W2045773625","https://openalex.org/W2046372571","https://openalex.org/W2047043716","https://openalex.org/W2057792907","https://openalex.org/W2060632169","https://openalex.org/W2082851791","https://openalex.org/W2122122715","https://openalex.org/W2125188192","https://openalex.org/W2132725786","https://openalex.org/W2142458924","https://openalex.org/W2150134853","https://openalex.org/W2151939106","https://openalex.org/W2167428023","https://openalex.org/W2767789914","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2028814883","https://openalex.org/W2922442631","https://openalex.org/W2095446662","https://openalex.org/W2053596378","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,71],"advanced":[4,72],"and":[5,34,44,80,91,112,143,157,195,205,223],"precise":[6],"technique":[7],"for":[8,54,165,200],"the":[9,17,27,32,103,121,124,149,160,173,178,191,201,233,236,240,247,253],"segmentation":[10,21,186,206],"of":[11,16,58,83,123,235],"Magnetic":[12],"Resonance":[13],"Image":[14],"(MRI)":[15],"brain.":[18],"Brain":[19],"MRI":[20],"is":[22,70,98],"to":[23,30,35,61,101,230],"be":[24,244],"familiar":[25],"with":[26,190,232],"anatomical":[28],"structure,":[29],"recognize":[31],"deformities,":[33],"distinguish":[36],"different":[37,209],"tissues":[38,134,181],"which":[39,106],"help":[40],"in":[41,159],"treatment":[42],"planning":[43],"diagnosis.":[45],"Nature\u2019s":[46],"inspired":[47],"population-based":[48,73],"evolutionary":[49,74],"algorithms":[50],"are":[51,107,127,182,188,198,227],"extremely":[52],"popular":[53],"a":[55,84],"wide":[56],"range":[57],"applications":[59],"due":[60],"their":[62],"best":[63],"solutions.":[64],"Teaching":[65,79],"Learning":[66,81],"Based":[67],"Optimization":[68,214,225],"(TLBO)":[69],"algorithm":[75],"designed":[76],"based":[77],"on":[78],"process":[82],"classroom.":[85],"TLBO":[86,97,150],"uses":[87],"common":[88],"controlling":[89],"parameters":[90],"it":[92,242],"won\u2019t":[93],"require":[94,115],"algorithm-specific":[95],"parameters.":[96],"more":[99],"appropriate":[100],"optimize":[102],"real":[104],"variables":[105],"fuzzy":[108],"valued,":[109],"computationally":[110],"efficient,":[111],"does":[113],"not":[114],"parameter":[116],"tuning.":[117],"In":[118],"this":[119],"work,":[120],"pixels":[122],"brain":[125,168,180],"image":[126],"automatically":[128],"grouped":[129],"into":[130],"three":[131,179],"distinct":[132],"homogeneous":[133],"such":[135],"as":[136],"White":[137],"Matter":[138,141],"(WM),":[139],"Gray":[140],"(GM),":[142],"Cerebro":[144],"Spinal":[145],"Fluid":[146],"(CSF)":[147],"using":[148],"algorithm.":[151],"The":[152,163,185],"methodology":[153],"includes":[154],"skull":[155],"stripping":[156],"filtering":[158],"pre-processing":[161],"stage.":[162],"outcomes":[164],"10":[166],"MR":[167],"images":[169,194],"acquired":[170],"by":[171],"utilizing":[172],"proposed":[174,237,248],"strategy":[175],"proved":[176,245],"that":[177,246],"segmented":[183],"accurately.":[184],"outputs":[187],"compared":[189],"ground":[192],"truth":[193],"high":[196],"values":[197],"obtained":[199],"measure\u2019s":[202],"sensitivity,":[203],"specificity,":[204],"accuracy.":[207],"Four":[208],"approaches,":[210],"namely":[211],"Particle":[212],"Swarm":[213],"(PSO),":[215],"Genetic":[216],"Algorithm":[217,221],"(GA),":[218],"Bacterial":[219],"Foraging":[220],"(BFA),":[222],"Electromagnetic":[224],"(EMO)":[226],"likewise":[228],"implemented":[229],"compare":[231],"results":[234],"methodology.":[238],"From":[239],"results,":[241],"can":[243],"method":[249],"performed":[250],"effectively":[251],"than":[252],"other.":[254]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
