{"id":"https://openalex.org/W2807966311","doi":"https://doi.org/10.1504/ijcaet.2018.10013713","title":"An EM-MPM algorithmic approach to detect and classify thyroid dysfunction in medical thermal images","display_name":"An EM-MPM algorithmic approach to detect and classify thyroid dysfunction in medical thermal images","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2807966311","doi":"https://doi.org/10.1504/ijcaet.2018.10013713","mag":"2807966311"},"language":"en","primary_location":{"id":"doi:10.1504/ijcaet.2018.10013713","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcaet.2018.10013713","pdf_url":null,"source":{"id":"https://openalex.org/S5114360","display_name":"International Journal of Computer Aided Engineering and Technology","issn_l":"1757-2657","issn":["1757-2657","1757-2665"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Aided Engineering and Technology","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":"https://openalex.org/A5064736288","display_name":"S. Prabu","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Prabu","raw_affiliation_strings":["School of Computing Science and Engineering, VIT University Vellore, TN, India"],"affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, VIT University Vellore, TN, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073393602","display_name":"M. P. Gopinath","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M.P. Gopinath","raw_affiliation_strings":["School of Computing Science and Engineering, VIT University Vellore, TN, India"],"affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, VIT University Vellore, TN, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064736288"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.1768,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54510216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":"5","first_page":"513","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9987999796867371,"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/support-vector-machine","display_name":"Support vector machine","score":0.79362952709198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486002206802368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.537045419216156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5354858040809631},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5023002624511719},{"id":"https://openalex.org/keywords/thermography","display_name":"Thermography","score":0.466553658246994},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4633598327636719},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4586513042449951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43655073642730713}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.79362952709198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486002206802368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.537045419216156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354858040809631},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5023002624511719},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.466553658246994},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4633598327636719},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4586513042449951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43655073642730713},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcaet.2018.10013713","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcaet.2018.10013713","pdf_url":null,"source":{"id":"https://openalex.org/S5114360","display_name":"International Journal of Computer Aided Engineering and Technology","issn_l":"1757-2657","issn":["1757-2657","1757-2665"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Aided Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2082269393","https://openalex.org/W2043960970"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,118],"non-invasive":[4],"method":[5],"to":[6,124],"diagnose":[7],"thyroid":[8,62,102],"using":[9],"thermal":[10,86,104],"imaging":[11],"process":[12],"is":[13,20,25,42,111,114],"proposed.":[14],"Heat":[15],"distribution":[16],"in":[17,27],"an":[18],"object":[19],"referred":[21],"as":[22,30],"thermography":[23],"it":[24],"utilised":[26],"medical":[28],"analysis":[29],"the":[31,45,54,61,126,130],"human":[32,101],"body":[33],"emits":[34],"certain":[35],"amount":[36],"of":[37,53,84,88,108],"heat.":[38],"The":[39,79,106],"proposed":[40,109,131],"technique":[41],"based":[43],"on":[44],"following":[46],"computational":[47],"methods":[48],"expectation":[49],"maximisation":[50],"-":[51],"maximise":[52],"posterior":[55],"marginal":[56],"algorithm":[57],"(EM-MPM)":[58],"for":[59,68,76,133],"segmenting":[60],"region,":[63],"grey-level":[64],"co-occurrence":[65],"matrix":[66],"(GLCM)":[67],"feature":[69],"extraction":[70],"and":[71,93,97],"support":[72,135],"vector":[73],"machine":[74],"(SVM)":[75],"classifying":[77],"abnormalities.":[78],"experiment":[80],"was":[81],"carried":[82],"out":[83],"40":[85],"images":[87],"which":[89,113],"ten":[90],"were":[91],"normal":[92],"30":[94],"abnormal":[95],"(hyper":[96],"hypo)":[98],"from":[99],"real":[100],"region":[103],"image.":[105],"accuracy":[107],"system":[110,132],"97.5%":[112],"significantly":[115],"good.":[116],"As":[117],"result":[119],"domain":[120],"user":[121],"are":[122],"able":[123],"analyses":[125],"prediction":[127],"given":[128],"by":[129],"decision":[134],"tool.":[136]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
