{"id":"https://openalex.org/W4391947951","doi":"https://doi.org/10.1109/ocit59427.2023.10430516","title":"Deep Learning-Based Medical Image Classification Segmented with Particle Swarm Optimization Technique","display_name":"Deep Learning-Based Medical Image Classification Segmented with Particle Swarm Optimization Technique","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391947951","doi":"https://doi.org/10.1109/ocit59427.2023.10430516"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ocit59427.2023.10430516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101913779","display_name":"Soni Singh","orcid":"https://orcid.org/0000-0002-2451-7894"},"institutions":[{"id":"https://openalex.org/I72769676","display_name":"Gautam Buddha University","ror":"https://ror.org/026cfwd52","country_code":"IN","type":"education","lineage":["https://openalex.org/I72769676"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soni Singh","raw_affiliation_strings":["School of Vocational Studies and Applied Science, Gautam Buddha University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"School of Vocational Studies and Applied Science, Gautam Buddha University, Greater Noida, India","institution_ids":["https://openalex.org/I72769676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017568868","display_name":"Pankaj Jain","orcid":"https://orcid.org/0000-0001-9913-7856"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj Kumar Jain","raw_affiliation_strings":["School of Biomedical Engineering, Indian Institute of Technology (BHU), India"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Indian Institute of Technology (BHU), India","institution_ids":["https://openalex.org/I56404289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437499","display_name":"Neeraj Sharma","orcid":"https://orcid.org/0000-0002-6965-4833"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeraj Sharma","raw_affiliation_strings":["School of Biomedical Engineering, Indian Institute of Technology (BHU), India"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Indian Institute of Technology (BHU), India","institution_ids":["https://openalex.org/I56404289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059253866","display_name":"Mausumi Pohit","orcid":"https://orcid.org/0000-0001-6875-9193"},"institutions":[{"id":"https://openalex.org/I72769676","display_name":"Gautam Buddha University","ror":"https://ror.org/026cfwd52","country_code":"IN","type":"education","lineage":["https://openalex.org/I72769676"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mausumi Pohit","raw_affiliation_strings":["School of Vocational Studies and Applied Science, Gautam Buddha University, Greater Noida, India"],"affiliations":[{"raw_affiliation_string":"School of Vocational Studies and Applied Science, Gautam Buddha University, Greater Noida, India","institution_ids":["https://openalex.org/I72769676"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.33,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.617147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":68,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"621"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9963,"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":0.9963,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9916,"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/T10862","display_name":"AI in cancer detection","score":0.9915,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45210195}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.79553616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6925868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451891},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5060782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5031392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48600373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47375044},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45210195},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.42773402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2544248}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ocit59427.2023.10430516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1994062553","https://openalex.org/W2010382953","https://openalex.org/W2012275597","https://openalex.org/W2133059825","https://openalex.org/W2151543397","https://openalex.org/W2612685003","https://openalex.org/W2616774636","https://openalex.org/W2965465741","https://openalex.org/W2991372685","https://openalex.org/W3187749735","https://openalex.org/W3196343085","https://openalex.org/W3214787750","https://openalex.org/W3217735524","https://openalex.org/W4213326545","https://openalex.org/W4220709008","https://openalex.org/W4292811604","https://openalex.org/W4293378144","https://openalex.org/W4304780893","https://openalex.org/W4311521056","https://openalex.org/W4366283189","https://openalex.org/W4382777046","https://openalex.org/W4386126683","https://openalex.org/W4387532013"],"related_works":["https://openalex.org/W2972744589","https://openalex.org/W2965421953","https://openalex.org/W2950423922","https://openalex.org/W2349895019","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2121780490","https://openalex.org/W2116074880","https://openalex.org/W2070977815","https://openalex.org/W2006324351"],"abstract_inverted_index":{"Medical":[0],"image":[1,11],"segmentation":[2],"and":[3,60,85],"classification":[4,96],"is":[5,17,28,42],"a":[6,14,31,133],"prior":[7],"task":[8],"in":[9,50,121,141],"medical":[10,68,142],"analysis.":[12],"Therefore,":[13],"generalized":[15],"method":[16,118,129],"required":[18],"to":[19,29],"process":[20],"these":[21,90],"images":[22,69],"efficiently.":[23],"Objective":[24],"of":[25,47,77,89,101,139],"our":[26],"work":[27],"use":[30],"nature":[32],"inspired":[33],"metaheuristic":[34],"algorithm,":[35],"particle":[36],"swarm":[37],"optimization":[38],"(PSO).":[39],"The":[40,103],"algorithms":[41],"applied":[43],"on":[44],"three":[45],"types":[46,100],"databases":[48,53],"available":[49],"repositories.":[51],"These":[52],"include":[54],"breast":[55],"cancer":[56],"ultrasound,":[57],"chest-X-":[58],"Rays,":[59],"carotid":[61],"ultrasound":[62],"images.":[63,143],"After":[64],"performing":[65],"PSO":[66],"clustering,":[67],"are":[70],"classified":[71],"into":[72],"binary":[73],"class":[74],"using":[75],"state":[76],"the":[78,115,127],"art":[79],"deep":[80],"learning":[81],"models":[82,92],"VGG16,":[83],"GoogleNet":[84,93],"ResNet50":[86],"models.":[87],"Out":[88],"DL":[91],"performs":[94],"better":[95],"performance":[97],"for":[98,111,136],"all":[99],"database.":[102],"PSO-based":[104,128],"approach":[105],"effectively":[106],"produces":[107],"distinct":[108],"ROI":[109,122],"clusters":[110],"cluster":[112,116],"3,":[113],"while":[114],"4-based":[117],"highlights":[119],"variations":[120],"tissue":[123],"density.":[124],"In":[125],"summary,":[126],"stands":[130],"out":[131],"as":[132],"robust":[134],"tool":[135],"delineating":[137],"regions":[138],"interest":[140]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391947951","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-09T20:08:45.102963","created_date":"2024-02-20"}