{"id":"https://openalex.org/W4321021799","doi":"https://doi.org/10.1109/access.2023.3243104","title":"Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification","display_name":"Multi-Orientation Local Texture Features for Guided Attention-Based Fusion in Lung Nodule Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321021799","doi":"https://doi.org/10.1109/access.2023.3243104"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3243104","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3243104","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10046305.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10046305.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031399734","display_name":"Ahmed Saihood","orcid":"https://orcid.org/0000-0002-0147-7121"},"institutions":[{"id":"https://openalex.org/I202735123","display_name":"Thi Qar University","ror":"https://ror.org/02ypa8k59","country_code":"IQ","type":"education","lineage":["https://openalex.org/I202735123"]},{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IQ","IR"],"is_corresponding":true,"raw_author_name":"Ahmed Saihood","raw_affiliation_strings":["Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran","Faculty of Computer Science and Mathematics, University of Thi-Qar, Nasiriyah, Thi-Qar, Iraq"],"raw_orcid":"https://orcid.org/0000-0002-0147-7121","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]},{"raw_affiliation_string":"Faculty of Computer Science and Mathematics, University of Thi-Qar, Nasiriyah, Thi-Qar, Iraq","institution_ids":["https://openalex.org/I202735123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064679323","display_name":"Hossein Karshenas","orcid":"https://orcid.org/0000-0001-5607-4963"},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Karshenas","raw_affiliation_strings":["Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran"],"raw_orcid":"https://orcid.org/0000-0001-5607-4963","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112896547","display_name":"Ahmad Reza Naghsh-Nilchi","orcid":null},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ahmad Reza Naghsh-Nilchi","raw_affiliation_strings":["Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031399734"],"corresponding_institution_ids":["https://openalex.org/I202735123","https://openalex.org/I39268498"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.9444,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93904494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"17555","last_page":"17568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8760738968849182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7362287044525146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7319926023483276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262498736381531},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.5668630599975586},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5474801063537598},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.492149293422699},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4255562722682953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16658705472946167}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8760738968849182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7362287044525146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7319926023483276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262498736381531},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.5668630599975586},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5474801063537598},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.492149293422699},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4255562722682953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16658705472946167},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3243104","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3243104","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10046305.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:29cd6b148e964272b1d3a04930dbef78","is_oa":true,"landing_page_url":"https://doaj.org/article/29cd6b148e964272b1d3a04930dbef78","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 17555-17568 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3243104","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3243104","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10046305.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321021799.pdf","grobid_xml":"https://content.openalex.org/works/W4321021799.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1986649315","https://openalex.org/W2026794295","https://openalex.org/W2064675550","https://openalex.org/W2097073572","https://openalex.org/W2345136208","https://openalex.org/W2544288964","https://openalex.org/W2907648650","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2963091558","https://openalex.org/W2964092275","https://openalex.org/W2970131360","https://openalex.org/W2971376088","https://openalex.org/W2998108143","https://openalex.org/W2998623274","https://openalex.org/W3005163826","https://openalex.org/W3025311784","https://openalex.org/W3035253074","https://openalex.org/W3041219150","https://openalex.org/W3045605181","https://openalex.org/W3047003474","https://openalex.org/W3082696924","https://openalex.org/W3083885798","https://openalex.org/W3096038436","https://openalex.org/W3100000627","https://openalex.org/W3100355572","https://openalex.org/W3103890141","https://openalex.org/W3107555375","https://openalex.org/W3117747387","https://openalex.org/W3120098816","https://openalex.org/W3127579051","https://openalex.org/W3130349931","https://openalex.org/W3154422954","https://openalex.org/W3162418282","https://openalex.org/W3164956625","https://openalex.org/W3165288049","https://openalex.org/W3169391575","https://openalex.org/W3173512372","https://openalex.org/W3192632647","https://openalex.org/W3193084056","https://openalex.org/W3200126418","https://openalex.org/W3205875138","https://openalex.org/W3209430997","https://openalex.org/W3211246267","https://openalex.org/W3212243864","https://openalex.org/W3212386989","https://openalex.org/W3217412913","https://openalex.org/W4200469286","https://openalex.org/W4206794324","https://openalex.org/W4210901536","https://openalex.org/W4214934717","https://openalex.org/W4220754081","https://openalex.org/W4220863816","https://openalex.org/W4285243643","https://openalex.org/W4297990728","https://openalex.org/W4310814451","https://openalex.org/W4401476022","https://openalex.org/W6685133223","https://openalex.org/W6772853553","https://openalex.org/W6782259796","https://openalex.org/W6810186013"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Computerized":[0],"tomography":[1],"(CT)":[2],"scan":[3,23],"images":[4],"are":[5,131],"widely":[6],"used":[7],"in":[8,36,58,74,88,95,108,137,205],"automatic":[9],"lung":[10,16],"cancer":[11],"detection":[12],"and":[13,28,31,49,61,159,209],"classification.":[14],"The":[15,166],"nodules\u2019":[17],"texture":[18,127],"distribution":[19,146,162],"throughout":[20],"the":[21,42,59,64,75,98,106,115,122,134,145,171,174,182,189,194,198,219,224,228],"CT":[22,76],"volume":[24,38],"can":[25,39],"vary":[26],"significantly,":[27],"accurate":[29],"identification":[30],"consideration":[32],"of":[33,47,63,71,78,105,147,153,173,177,207,218,227],"discriminative":[34,119],"information":[35,100,120,149],"this":[37,68,89,161],"greatly":[40],"help":[41],"classification":[43,190],"process.":[44],"Deep":[45],"stacks":[46],"recurrent":[48],"convolutional":[50],"operations":[51],"cannot":[52],"entirely":[53],"represent":[54,144],"such":[55],"variations,":[56],"especially":[57],"size":[60],"location":[62],"nodules.":[65],"To":[66],"model":[67,116],"complex":[69],"pattern":[70],"inter/intra":[72],"dependencies":[73],"slices":[77,136,152],"each":[79,164],"nodule,":[80],"a":[81,109,154,214],"multi-orientation-based":[82],"guided-attention":[83],"module":[84],"(MOGAM)":[85],"is":[86,221,234],"proposed":[87,183,199,229],"paper,":[90],"which":[91,233],"provides":[92],"high":[93],"flexibility":[94],"concentrating":[96],"on":[97,193],"relevant":[99],"extracted":[101,132],"from":[102,121,133],"different":[103],"regions":[104],"nodule":[107,123,135,155],"non-local":[110,175],"manner.":[111],"Moreover,":[112],"to":[113,188],"provide":[114],"with":[117],"finer-grained":[118],"volume,":[124],"specifically-designed":[125],"local":[126,179],"feature":[128],"descriptors":[129],"(TFDs)":[130],"multiple":[138,151],"orientations.":[139],"These":[140],"TFDs":[141,180],"not":[142],"only":[143],"textural":[148],"across":[150],"but":[156],"also":[157],"encode":[158],"approximate":[160],"within":[163],"slice.":[165],"extended":[167],"experimentation":[168],"has":[169,201],"shown":[170],"effectiveness":[172],"combination":[176],"these":[178],"through":[181],"guided":[184],"attention":[185],"mechanism.":[186],"According":[187],"results":[191,220],"obtained":[192],"standard":[195],"LIDC-IDRI":[196],"dataset,":[197],"approach":[200],"outperformed":[202],"other":[203],"counterparts":[204],"terms":[206],"accuracy":[208],"AUC":[210],"evaluation":[211],"metrics.":[212],"Also,":[213],"detailed":[215],"explainability":[216],"analysis":[217],"provided,":[222],"demonstrating":[223],"correct":[225],"functioning":[226],"attention-based":[230],"fusion":[231],"approach,":[232],"required":[235],"by":[236],"medical":[237],"experts.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
