{"id":"https://openalex.org/W4413213974","doi":"https://doi.org/10.1145/3712255.3726561","title":"Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation","display_name":"Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4413213974","doi":"https://doi.org/10.1145/3712255.3726561"},"language":"en","primary_location":{"id":"doi:10.1145/3712255.3726561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726561","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.19152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073050446","display_name":"Shoffan Saifullah","orcid":"https://orcid.org/0000-0001-6799-3834"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I4210156102","display_name":"Universitas Pembangunan Nasional Veteran Yogyakarta","ror":"https://ror.org/0420bzz85","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210156102"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["ID","PL"],"is_corresponding":true,"raw_author_name":"Shoffan Saifullah","raw_affiliation_strings":["Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia, Krakow, Poland","Faculty of Computer Science, AGH University of Krakow, Poland, Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia, Krakow, Poland","institution_ids":["https://openalex.org/I4210156102"]},{"raw_affiliation_string":"Faculty of Computer Science, AGH University of Krakow, Poland, Krakow, Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048037443","display_name":"Rafa\u0142 Dre\u017cewski","orcid":"https://orcid.org/0000-0001-8607-3478"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Rafa\u0142 Dre\u017cewski","raw_affiliation_strings":["Faculty of Computer Science, AGH University of Krakow, Poland, Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, AGH University of Krakow, Poland, Krakow, Poland","institution_ids":["https://openalex.org/I686019","https://openalex.org/I126596746"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073050446"],"corresponding_institution_ids":["https://openalex.org/I126596746","https://openalex.org/I4210156102","https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.5762,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93333333,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6846763491630554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538103818893433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.490755170583725},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4817909598350525},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4463905394077301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28179553151130676}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6846763491630554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538103818893433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.490755170583725},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4817909598350525},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4463905394077301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28179553151130676}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3712255.3726561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726561","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.19152","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.19152","pdf_url":"https://arxiv.org/pdf/2503.19152","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.19152","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.19152","pdf_url":"https://arxiv.org/pdf/2503.19152","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2952378269","https://openalex.org/W3124447910","https://openalex.org/W3196720782","https://openalex.org/W4220955759","https://openalex.org/W4290991044","https://openalex.org/W4381308590","https://openalex.org/W4384570006","https://openalex.org/W4385154950","https://openalex.org/W4385709111","https://openalex.org/W4388801847","https://openalex.org/W4391383221","https://openalex.org/W4392810939","https://openalex.org/W4393932297","https://openalex.org/W4394673063","https://openalex.org/W4397024103","https://openalex.org/W4400786061","https://openalex.org/W4401202248","https://openalex.org/W4402289118","https://openalex.org/W4403039283","https://openalex.org/W4404693763","https://openalex.org/W4406016943","https://openalex.org/W4408100117","https://openalex.org/W6902002720","https://openalex.org/W6910410738","https://openalex.org/W6940593158"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Medical":[0],"image":[1],"segmentation":[2,47,111],"for":[3,33],"brain":[4],"tumor":[5,19,88],"analysis":[6],"requires":[7],"accurate":[8],"and":[9,18,41,52,54,59,64,73,87,93,123],"efficient":[10],"models":[11],"due":[12],"to":[13],"complex":[14],"multimodal":[15],"MRI":[16],"data":[17],"variability.":[20],"This":[21,97],"study":[22],"presents":[23],"PSO-UNet,":[24],"which":[25],"integrates":[26],"Particle":[27],"Swarm":[28],"Optimization":[29],"(PSO)":[30],"with":[31,48],"U-Net":[32,80],"dynamic":[34],"hyperparameter":[35,106],"tuning":[36,107],"of":[37,50,57,103],"filters,":[38],"kernel":[39],"size,":[40],"learning":[42],"rate.":[43],"PSO-UNet":[44,82],"achieves":[45],"state-of-the-art":[46],"DSCs":[49],"0.9578":[51],"0.9523":[53],"IoU":[55],"scores":[56],"0.9194":[58],"0.9097":[60],"on":[61],"BraTS":[62],"2021":[63],"Figshare":[65],"datasets.":[66],"The":[67],"model":[68],"uses":[69],"only":[70],"7.8M":[71],"parameters":[72],"executes":[74],"in":[75],"906":[76],"seconds,":[77],"outperforming":[78],"standard":[79],"frameworks.":[81],"generalizes":[83],"well":[84],"across":[85],"modalities":[86],"types,":[89],"offering":[90],"a":[91,100],"lightweight":[92],"clinically":[94],"viable":[95],"solution.":[96],"framework":[98],"offers":[99],"novel":[101],"integration":[102],"automated":[104],"PSO-driven":[105],"into":[108],"U-Net,":[109],"enhancing":[110],"performance":[112],"while":[113],"reducing":[114],"computational":[115],"overhead.":[116],"Future":[117],"work":[118],"will":[119],"explore":[120],"hybrid":[121],"optimizations":[122],"further":[124],"scalability.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}