{"id":"https://openalex.org/W4391306985","doi":"https://doi.org/10.1109/vcip59821.2023.10402636","title":"Cancer Spheroid Segmentation Based on Vision Transformer","display_name":"Cancer Spheroid Segmentation Based on Vision Transformer","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391306985","doi":"https://doi.org/10.1109/vcip59821.2023.10402636"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402636","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-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/A5031977684","display_name":"Guilherme Vieira Leite","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Guilherme Vieira Leite","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP),Institute of Computing,Department of Information Systems,Campinas-SP,Brazil,13083-852"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP),Institute of Computing,Department of Information Systems,Campinas-SP,Brazil,13083-852","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081481731","display_name":"Jordana Maria Azevedo-Martins","orcid":"https://orcid.org/0000-0002-0313-4296"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jordana Maria Azevedo-Martins","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP),Institute of Biology,Department of Biochemistry and Tissue Biology,Campinas-SP,Brazil,13083-862"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP),Institute of Biology,Department of Biochemistry and Tissue Biology,Campinas-SP,Brazil,13083-862","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006247675","display_name":"Carmen Ver\u00edssima Ferreira\u2010Halder","orcid":"https://orcid.org/0000-0002-7911-6334"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carmen Ver\u00edssima Ferreira-Halder","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP),Institute of Biology,Department of Biochemistry and Tissue Biology,Campinas-SP,Brazil,13083-862"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP),Institute of Biology,Department of Biochemistry and Tissue Biology,Campinas-SP,Brazil,13083-862","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065725754","display_name":"H\u00e9lio Pedrini","orcid":"https://orcid.org/0000-0003-0125-630X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Helio Pedrini","raw_affiliation_strings":["Universidade Estadual de Campinas (UNICAMP),Institute of Computing,Department of Information Systems,Campinas-SP,Brazil,13083-852"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual de Campinas (UNICAMP),Institute of Computing,Department of Information Systems,Campinas-SP,Brazil,13083-852","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031977684"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19680256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9983999729156494,"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":0.9983999729156494,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962999820709229,"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/segmentation","display_name":"Segmentation","score":0.5759541988372803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.540631115436554},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5059077143669128},{"id":"https://openalex.org/keywords/spheroid","display_name":"Spheroid","score":0.48514971137046814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.478342741727829},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4755908250808716},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4735768735408783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1821528673171997},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10374674201011658},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09954950213432312},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07449802756309509}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5759541988372803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.540631115436554},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5059077143669128},{"id":"https://openalex.org/C175369904","wikidata":"https://www.wikidata.org/wiki/Q208395","display_name":"Spheroid","level":3,"score":0.48514971137046814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.478342741727829},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4755908250808716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4735768735408783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1821528673171997},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10374674201011658},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09954950213432312},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07449802756309509},{"id":"https://openalex.org/C202751555","wikidata":"https://www.wikidata.org/wiki/Q221681","display_name":"In vitro","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402636","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1937374016","https://openalex.org/W2101608218","https://openalex.org/W2520107693","https://openalex.org/W2612690371","https://openalex.org/W2799444748","https://openalex.org/W2821017730","https://openalex.org/W2884436604","https://openalex.org/W2896319381","https://openalex.org/W2928133111","https://openalex.org/W3101884874","https://openalex.org/W3127751679","https://openalex.org/W3161807668","https://openalex.org/W4213052336","https://openalex.org/W4220667963","https://openalex.org/W4233751469","https://openalex.org/W4282600687","https://openalex.org/W4286111664","https://openalex.org/W4292213064","https://openalex.org/W4293116527","https://openalex.org/W4294218639","https://openalex.org/W4295934721","https://openalex.org/W4297965307","https://openalex.org/W4308624890","https://openalex.org/W4308738320","https://openalex.org/W4311201479","https://openalex.org/W4311481072","https://openalex.org/W4313700805","https://openalex.org/W4316672634","https://openalex.org/W4319990294","https://openalex.org/W4320710082","https://openalex.org/W6739901393","https://openalex.org/W6790275670","https://openalex.org/W6911139667"],"related_works":["https://openalex.org/W2050956753","https://openalex.org/W2184533732","https://openalex.org/W2034330200","https://openalex.org/W3045873720","https://openalex.org/W2111152401","https://openalex.org/W2906127908","https://openalex.org/W2408054456","https://openalex.org/W3170737935","https://openalex.org/W3046890897","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Two-dimensional":[0],"(2D)":[1],"cultures":[2],"have":[3],"long":[4],"been":[5],"the":[6,24,39,50,79,101,107,129,141],"standard":[7],"in":[8],"vitro":[9],"drug":[10,30],"discovery":[11],"paradigm.":[12],"However,":[13],"three-dimensional":[14],"(3D)":[15],"culture":[16],"models,":[17],"e.g.":[18],"spheroids":[19],"and":[20,32,43,64,70,149],"organoids,":[21],"has":[22],"revolutionized":[23],"screening":[25],"for":[26,81,121],"new":[27],"bioactive":[28],"substances,":[29],"repositioning":[31],"precision":[33],"medicine,":[34],"once":[35],"they":[36],"better":[37],"mimic":[38],"natural":[40],"cell":[41],"environment,":[42],"consequently,":[44],"provide":[45],"more":[46,68,71,147],"accurate":[47],"information.":[48],"Despite":[49],"advances,":[51],"analyzing":[52],"these":[53],"images":[54],"of":[55,61,103],"3D":[56],"structures":[57],"takes":[58],"a":[59,155],"lot":[60],"time,":[62],"money,":[63],"effort.":[65],"Therefore,":[66],"better,":[67],"precise":[69],"adaptive":[72],"segmentation":[73,123],"models":[74,105,131],"are":[75],"required":[76],"due":[77],"to":[78,106,154],"demand":[80],"analysis":[82],"automation.":[83],"In":[84],"this":[85],"work,":[86],"by":[87],"contrasting":[88],"its":[89],"performance":[90],"with":[91,137],"CNNs":[92],"that":[93,118,128],"concentrate":[94],"on":[95],"medical":[96],"image":[97],"segmentation,":[98],"we":[99,113],"explore":[100],"applicability":[102],"Transformer":[104],"human":[108],"cancer":[109],"spheroid":[110],"task.":[111],"Additionally,":[112],"release":[114],"our":[115],"own":[116],"dataset":[117],"is":[119],"prepared":[120],"semantic":[122],"benchmarking.":[124],"Our":[125],"experiments":[126],"showed":[127],"CNN":[130],"were":[132],"superior":[133],"at":[134],"handling":[135],"training":[136,150],"fewer":[138],"samples":[139],"because":[140],"Transformer\u2019s":[142],"self-attention":[143],"mechanism":[144],"requires":[145],"considerably":[146],"data":[148],"time":[151],"before":[152],"converging":[153],"learned":[156],"pattern.":[157]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}