{"id":"https://openalex.org/W4285731148","doi":"https://doi.org/10.1007/s11042-022-13433-7","title":"Diagnosis of anomalies based on hybrid features extraction in thyroid images","display_name":"Diagnosis of anomalies based on hybrid features extraction in thyroid images","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4285731148","doi":"https://doi.org/10.1007/s11042-022-13433-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/35874325"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-022-13433-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-022-13433-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-022-13433-7.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-022-13433-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066451261","display_name":"Mahin Tasnimi","orcid":"https://orcid.org/0000-0002-4636-821X"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahin Tasnimi","raw_affiliation_strings":["Department of Computer, Ferdows Branch, Islamic Azad University, Ferdows, Iran"],"raw_orcid":"https://orcid.org/0000-0002-4636-821X","affiliations":[{"raw_affiliation_string":"Department of Computer, Ferdows Branch, Islamic Azad University, Ferdows, Iran","institution_ids":["https://openalex.org/I86958956","https://openalex.org/I110525433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065254755","display_name":"Hamid Reza Ghaffari","orcid":"https://orcid.org/0000-0002-7437-8466"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hamid Reza Ghaffari","raw_affiliation_strings":["Department of Computer, Ferdows Branch, Islamic Azad University, Ferdows, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Ferdows Branch, Islamic Azad University, Ferdows, Iran","institution_ids":["https://openalex.org/I86958956","https://openalex.org/I110525433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065254755"],"corresponding_institution_ids":["https://openalex.org/I110525433","https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":0.8326,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77555855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"82","issue":"3","first_page":"3859","last_page":"3877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9876999855041504,"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/T11363","display_name":"Dental Radiography and Imaging","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.837222158908844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7728656530380249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7380870580673218},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7321736812591553},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6579581499099731},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5234412550926208},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5155253410339355},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5149324536323547},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4961894154548645},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47861331701278687},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4780067503452301},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46761974692344666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43210530281066895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27076131105422974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09026962518692017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837222158908844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728656530380249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7380870580673218},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7321736812591553},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6579581499099731},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5234412550926208},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5155253410339355},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5149324536323547},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4961894154548645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47861331701278687},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4780067503452301},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46761974692344666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43210530281066895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27076131105422974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09026962518692017},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11042-022-13433-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-022-13433-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-022-13433-7.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"pmid:35874325","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35874325","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia tools and applications","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9289652","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9289652","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Multimed Tools Appl","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11042-022-13433-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-022-13433-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-022-13433-7.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285731148.pdf","grobid_xml":"https://content.openalex.org/works/W4285731148.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1720934204","https://openalex.org/W1986668511","https://openalex.org/W1988479873","https://openalex.org/W1996325374","https://openalex.org/W2027685755","https://openalex.org/W2054622577","https://openalex.org/W2078275311","https://openalex.org/W2163352848","https://openalex.org/W2175404829","https://openalex.org/W2312782750","https://openalex.org/W2340896621","https://openalex.org/W2532852577","https://openalex.org/W2578312701","https://openalex.org/W2608140998","https://openalex.org/W2617638177","https://openalex.org/W2626312329","https://openalex.org/W2735666957","https://openalex.org/W2756452435","https://openalex.org/W2782073131","https://openalex.org/W2789575951","https://openalex.org/W2801973181","https://openalex.org/W2807190811","https://openalex.org/W2807821935","https://openalex.org/W2885558496","https://openalex.org/W2892776417","https://openalex.org/W2894059948","https://openalex.org/W2895786840","https://openalex.org/W2905949064","https://openalex.org/W2906179618","https://openalex.org/W2908996122","https://openalex.org/W2911378287","https://openalex.org/W2921299302","https://openalex.org/W2922138935","https://openalex.org/W2938886060","https://openalex.org/W2942211779","https://openalex.org/W2956423933","https://openalex.org/W2963623045","https://openalex.org/W2966273162","https://openalex.org/W2976711440","https://openalex.org/W2984156615","https://openalex.org/W2994992990","https://openalex.org/W3004003386","https://openalex.org/W3007907254","https://openalex.org/W3088727794","https://openalex.org/W3122044354","https://openalex.org/W3134339798","https://openalex.org/W3136280004","https://openalex.org/W4241067425"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2955952267","https://openalex.org/W2058306460","https://openalex.org/W2076436625","https://openalex.org/W2083564146","https://openalex.org/W2148428954","https://openalex.org/W4224879220","https://openalex.org/W2049095871"],"abstract_inverted_index":{"Diagnosing":[0],"benign":[1],"and":[2,27,41,107,131,192],"malignant":[3],"glands":[4],"in":[5,21,73,180,201],"thyroid":[6],"ultrasound":[7,85],"images":[8,26,40,86],"is":[9],"considered":[10],"a":[11,55,80,114,124,205],"challenging":[12],"issue.":[13],"Recently,":[14],"deep":[15,96],"learning":[16],"techniques":[17],"have":[18,175],"significantly":[19],"resulted":[20],"extracting":[22],"features":[23,97,100,154],"from":[24],"medical":[25],"classifying":[28],"them.":[29],"Convolutional":[30],"neural":[31,76],"networks":[32,62],"ignore":[33],"the":[34,52,70,74,89,120,133,139,147,151,164,172,177,187,196,202],"hierarchical":[35,66],"structure":[36],"of":[37,58,64,104,123,136,159,168,189],"entities":[38],"within":[39],"do":[42],"not":[43],"pay":[44],"attention":[45],"to":[46,69,112,146,162],"spatial":[47],"information":[48],"as":[49,51,102],"well":[50],"need":[53],"for":[54,84],"large":[56],"number":[57],"training":[59,143],"samples.":[60,137],"Capsule":[61],"consist":[63],"different":[65,142],"capsules":[67],"equivalent":[68],"same":[71],"layers":[72],"convolutional":[75],"networks.":[77],"We":[78,118],"propose":[79],"feature":[81,116],"extraction":[82],"method":[83],"based":[87],"on":[88],"capsule":[90],"network.":[91],"Then,":[92],"we":[93],"combine":[94],"those":[95],"with":[98,198,204],"conventional":[99],"such":[101],"Histogram":[103],"Oriented":[105],"Gradients":[106],"Local":[108],"Binary":[109],"Pattern":[110],"together":[111],"form":[113],"hybrid":[115],"space.":[117],"increase":[119],"accuracy":[121,200],"percentage":[122],"support":[125],"vector":[126],"machine":[127],"(SVM)":[128],"by":[129],"balancing":[130],"reducing":[132],"data":[134],"dimensions":[135],"Since":[138],"SVM":[140,203],"provides":[141],"kernels":[144,161],"according":[145],"sample":[148],"distribution":[149],"method,":[150],"extracted":[152],"textural":[153],"were":[155],"categorized":[156],"using":[157,171],"each":[158],"these":[160],"obtain":[163],"result.":[165],"The":[166],"parameters":[167],"classification":[169],"evaluation":[170],"researcher-made":[173],"model":[174],"outperformed":[176,195],"other":[178],"methods":[179,194],"this":[181],"field.":[182],"Experimental":[183],"results":[184],"showed":[185],"that":[186],"combination":[188],"HOG,":[190],"LBP,":[191],"CapsNet":[193],"others,":[197],"83.95%":[199],"linear":[206],"kernel.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
