{"id":"https://openalex.org/W3095113644","doi":"https://doi.org/10.1166/jmihi.2020.2907","title":"Thyroid Extraction Based on Artificial Immune Network with Firefly Algorithm in Single Photon Emission Computed Tomography Image","display_name":"Thyroid Extraction Based on Artificial Immune Network with Firefly Algorithm in Single Photon Emission Computed Tomography Image","publication_year":2019,"publication_date":"2019-12-14","ids":{"openalex":"https://openalex.org/W3095113644","doi":"https://doi.org/10.1166/jmihi.2020.2907","mag":"3095113644"},"language":"en","primary_location":{"id":"doi:10.1166/jmihi.2020.2907","doi":"https://doi.org/10.1166/jmihi.2020.2907","is_oa":false,"landing_page_url":"https://doi.org/10.1166/jmihi.2020.2907","pdf_url":null,"source":{"id":"https://openalex.org/S2502047498","display_name":"Journal of Medical Imaging and Health Informatics","issn_l":"2156-7026","issn":["2156-7026","2156-7018"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-1","poland-20"],"host_organization":"https://openalex.org/P4310321646","host_organization_name":"American Scientific Publishers","host_organization_lineage":["https://openalex.org/P4310321646"],"host_organization_lineage_names":["American Scientific Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Medical Imaging and Health Informatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5057295052","display_name":"Yuejun Liu","orcid":"https://orcid.org/0000-0001-9132-8017","observed_orcids":["https://orcid.org/0000-0001-9132-8017"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuejun Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043360068","display_name":"Liyong Ma","orcid":"https://orcid.org/0000-0002-9515-7988","observed_orcids":["https://orcid.org/0000-0002-9515-7988"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liyong Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343320","display_name":"Yong Zhang","orcid":"https://orcid.org/0009-0000-5824-1411","observed_orcids":["https://orcid.org/0009-0000-5824-1411"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.192,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47670693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"10","issue":"3","first_page":"614","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.0026000000070780516,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":9.999999747378752e-05,"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/artificial-immune-network","display_name":"artificial immune network","score":0.9900000095367432},{"id":"https://openalex.org/keywords/firefly-algorithm","display_name":"firefly algorithm","score":0.9990000128746033},{"id":"https://openalex.org/keywords/adaptive-step-size","display_name":"adaptive step size","score":0.6169999837875366},{"id":"https://openalex.org/keywords/sample-selection","display_name":"sample selection","score":0.8159999847412109},{"id":"https://openalex.org/keywords/region-based-segmentation","display_name":"region-based segmentation","score":0.36000001430511475},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.6110000014305115},{"id":"https://openalex.org/keywords/trimap","display_name":"trimap","score":0.40400001406669617}],"concepts":[{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.7291842699050903},{"id":"https://openalex.org/C2780441642","wikidata":"https://www.wikidata.org/wiki/Q849737","display_name":"Single-photon emission computed tomography","level":2,"score":0.6181971430778503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878019332885742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5166974067687988},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46330195665359497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42503926157951355},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4200921058654785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4074271321296692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.394400030374527},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.1862843632698059},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09507930278778076},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1166/jmihi.2020.2907","doi":"https://doi.org/10.1166/jmihi.2020.2907","is_oa":false,"landing_page_url":"https://doi.org/10.1166/jmihi.2020.2907","pdf_url":null,"source":{"id":"https://openalex.org/S2502047498","display_name":"Journal of Medical Imaging and Health Informatics","issn_l":"2156-7026","issn":["2156-7026","2156-7018"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-1","poland-20"],"host_organization":"https://openalex.org/P4310321646","host_organization_name":"American Scientific Publishers","host_organization_lineage":["https://openalex.org/P4310321646"],"host_organization_lineage_names":["American Scientific Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Medical Imaging and Health Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5683000087738037}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4200181193","https://openalex.org/W3211035235","https://openalex.org/W2908804667","https://openalex.org/W2903043221","https://openalex.org/W4317564627","https://openalex.org/W4385694598","https://openalex.org/W1555791351","https://openalex.org/W1982409653","https://openalex.org/W4393010128","https://openalex.org/W4353015385"],"abstract_inverted_index":{"Thyroid":[0],"extraction":[1,43,104,111],"from":[2],"single":[3],"photon":[4],"emission":[5],"computed":[6],"tomography":[7],"(SPECT)":[8],"image":[9,17,25],"is":[10,54,59,64,85,100,107,120,139,155],"an":[11],"important":[12],"primary":[13],"work":[14],"for":[15,45,66,87,142],"medical":[16],"analysis":[18],"and":[19,73,79,122,130],"computer":[20],"aided":[21],"diagnosis.":[22],"However,":[23],"SPECT":[24,46],"of":[26,116,127],"thyroid":[27,42],"does":[28],"not":[29],"have":[30],"a":[31],"clear":[32],"margin":[33],"boundary":[34],"compared":[35],"with":[36,56,82,102,145,162],"ultrasound":[37],"or":[38],"CT":[39],"images.":[40],"A":[41],"method":[44,99,119,129,138,154],"Image":[47],"based":[48],"on":[49],"artificial":[50],"immune":[51,62],"network":[52,63],"that":[53,96,126,151],"optimized":[55],"firefly":[57,80],"algorithm":[58,81],"developed.":[60],"Artificial":[61],"employed":[65],"discovering":[67],"the":[68,89,97,117,136,152],"correlation":[69],"between":[70],"spatial":[71],"distance":[72],"pixel":[74],"value":[75],"by":[76],"samples":[77,90],"selection,":[78],"adaptive":[83],"step":[84],"used":[86],"optimization":[88],"selection.":[91],"The":[92,113,148],"experimental":[93],"results":[94],"demonstrate":[95],"proposed":[98,118,137,153],"efficient":[101,157],"less":[103,124],"error":[105,115],"which":[106],"superior":[108],"to":[109],"other":[110,159],"methods.":[112],"average":[114],"21.9%":[121],"14.4%":[123],"than":[125,158],"sampling":[128,132,160],"global":[131],"method,":[133],"respectively.":[134],"And":[135],"also":[140],"robust":[141],"initial":[143],"regions":[144],"varies":[146],"radius.":[147],"experiments":[149],"reveal":[150],"more":[156],"methods":[161],"different":[163],"trimaps.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2020-11-09T00:00:00"}
