{"id":"https://openalex.org/W2921414045","doi":"https://doi.org/10.1117/12.2523220","title":"Brain tumor segmentation based on 3D neighborhood features using rule-based learning","display_name":"Brain tumor segmentation based on 3D neighborhood features using rule-based learning","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2921414045","doi":"https://doi.org/10.1117/12.2523220","mag":"2921414045"},"language":"en","primary_location":{"id":"doi:10.1117/12.2523220","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2523220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-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":"https://openalex.org/A5048644913","display_name":"Zeynab Barzegar","orcid":"https://orcid.org/0000-0001-7834-2412"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Zeynab Barzegar","raw_affiliation_strings":["Sharif Univ. of Technology (Iran, Islamic Republic of)"],"affiliations":[{"raw_affiliation_string":"Sharif Univ. of Technology (Iran, Islamic Republic of)","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046563712","display_name":"Mansour Jamzad","orcid":"https://orcid.org/0000-0001-9999-9157"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mansour Jamzad","raw_affiliation_strings":["Sharif Univ. of Technology (Iran, Islamic Republic of)"],"affiliations":[{"raw_affiliation_string":"Sharif Univ. of Technology (Iran, Islamic Republic of)","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048644913"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.2146,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5793994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"107","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"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":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/jaccard-index","display_name":"Jaccard index","score":0.9283289313316345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874187588691711},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6213620901107788},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6193680763244629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5775260925292969},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5650137662887573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5373811721801758},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.43282386660575867},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.41561904549598694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18252325057983398}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.9283289313316345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874187588691711},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6213620901107788},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6193680763244629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5775260925292969},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5650137662887573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5373811721801758},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43282386660575867},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.41561904549598694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18252325057983398},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2523220","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2523220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1978515644","https://openalex.org/W2000269560","https://openalex.org/W2123498585","https://openalex.org/W2128990484","https://openalex.org/W2301358467","https://openalex.org/W2525704427","https://openalex.org/W2608641923","https://openalex.org/W4230612137","https://openalex.org/W6601361697","https://openalex.org/W6719653328","https://openalex.org/W6720229326","https://openalex.org/W6720861437","https://openalex.org/W6727810114","https://openalex.org/W6772461537","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W4254879869","https://openalex.org/W3021239166","https://openalex.org/W3022576529","https://openalex.org/W2586273397","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W3012828488","https://openalex.org/W2553941787","https://openalex.org/W3091783519"],"abstract_inverted_index":{"In":[0,67],"order":[1],"to":[2,73,87,114,124,138,142,193],"plan":[3],"precise":[4],"treatment":[5],"or":[6],"accurate":[7],"tumor":[8,12,21],"removal":[9],"surgery,":[10],"brain":[11,28],"segmentation":[13,61],"is":[14,122,161,183],"critical":[15],"for":[16,58,156],"detecting":[17],"all":[18],"parts":[19],"of":[20,83,145,168,196],"and":[22,30,48,107,170,175,180],"its":[23,32],"surrounding":[24],"tissues.":[25],"To":[26],"visualize":[27],"anatomy":[29],"detect":[31],"abnormalities,":[33],"we":[34,80,111],"use":[35],"multi-modal":[36],"Magnetic":[37],"Resonance":[38],"Imaging":[39],"(MRI)":[40],"as":[41,185],"input.":[42],"This":[43,159],"paper":[44],"introduces":[45],"an":[46],"efficient":[47],"automated":[49],"algorithm":[50,160],"based":[51],"on":[52,163],"the":[53,68,119,125,131,136,139,143,148,194,197],"3D":[54,91],"bit-plane":[55],"neighborhood":[56],"concept":[57],"Brain":[59],"Tumor":[60],"using":[62,74,98],"a":[63,95,103,108],"rule-based":[64,104],"learning":[65],"algorithm.":[66,101],"proposed":[69],"approach,":[70],"in":[71,77,147],"addition":[72],"intensity":[75],"values":[76],"each":[78,115],"slice,":[79],"consider":[81],"sets":[82],"three":[84],"consecutive":[85],"slices":[86],"extract":[88],"information":[89],"from":[90,135],"neighborhood.":[92],"We":[93],"construct":[94],"Rule":[96],"base":[97],"sequential":[99],"covering":[100],"Through":[102],"ordering":[105],"method":[106],"reward/penalty":[109],"policy,":[110],"assign":[112],"weights":[113],"rule":[116],"such":[117],"that":[118],"largest":[120],"weight":[121,153],"assigned":[123],"strongest":[126,137],"(mostly":[127],"referred)":[128],"rule.":[129],"Finally,":[130],"rules":[132,146],"are":[133,154,178],"ranked":[134],"weakest.":[140],"Regarding":[141],"strength":[144],"framework,":[149],"those":[150],"with":[151],"highest":[152],"selected":[155],"voxel":[157],"labeling.":[158],"tested":[162],"BRATS":[164],"2015":[165],"training":[166],"database":[167],"High":[169],"Low":[171],"Grade":[172],"tumors.":[173],"Dice":[174],"Jaccard":[176],"indices":[177],"calculated":[179],"comparative":[181],"analysis":[182],"implemented":[184],"well.":[186],"Experimental":[187],"results":[188],"indicate":[189],"competitive":[190],"performance":[191],"compared":[192],"state":[195],"art":[198],"methods.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}