{"id":"https://openalex.org/W4385299476","doi":"https://doi.org/10.1109/access.2023.3299491","title":"BSANet: High-Performance 3D Medical Image Segmentation","display_name":"BSANet: High-Performance 3D Medical Image Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385299476","doi":"https://doi.org/10.1109/access.2023.3299491"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3299491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299491","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10195947.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10195947.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102900834","display_name":"Qi Huang","orcid":"https://orcid.org/0009-0002-8196-4639"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Huang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0002-8196-4639","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950601","display_name":"Jun Su","orcid":"https://orcid.org/0000-0002-9654-5309"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Su","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041388749","display_name":"\u041arzysztof Przystupa","orcid":"https://orcid.org/0000-0003-4361-2763"},"institutions":[{"id":"https://openalex.org/I8264552","display_name":"Lublin University of Technology","ror":"https://ror.org/024zjzd49","country_code":"PL","type":"education","lineage":["https://openalex.org/I8264552"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Przystupa","raw_affiliation_strings":["Department of Automation, Lublin University of Technology, Lublin, Poland","Department of Automation, Lublin University of Technology, Nadbystrzycka 36, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0003-4361-2763","affiliations":[{"raw_affiliation_string":"Department of Automation, Lublin University of Technology, Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]},{"raw_affiliation_string":"Department of Automation, Lublin University of Technology, Nadbystrzycka 36, Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021989472","display_name":"\u041e\u0440\u0435\u0441\u0442 \u041a\u043e\u0447\u0430\u043d","orcid":"https://orcid.org/0000-0002-3164-3821"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]},{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["CN","UA"],"is_corresponding":false,"raw_author_name":"Orest Kochan","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China","Department of Information-Measuring Technologies, Lviv Polytechnic National University, Stepana Bandery St, 12, Lviv, Ukraine"],"raw_orcid":"https://orcid.org/0000-0002-3164-3821","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"Department of Information-Measuring Technologies, Lviv Polytechnic National University, Stepana Bandery St, 12, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2127,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48249593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"79213","last_page":"79223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9994999766349792,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999416351318359},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6476754546165466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001322865486145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5927038788795471},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5053663849830627},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.436929851770401},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4312010109424591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32680267095565796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999416351318359},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6476754546165466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001322865486145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5927038788795471},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5053663849830627},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.436929851770401},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4312010109424591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32680267095565796}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3299491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299491","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10195947.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81533f79468d47ac86a5dac2ed9003b5","is_oa":true,"landing_page_url":"https://doaj.org/article/81533f79468d47ac86a5dac2ed9003b5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 79213-79223 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3299491","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299491","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10195947.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321604","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385299476.pdf","grobid_xml":"https://content.openalex.org/works/W4385299476.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1544547617","https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2526009326","https://openalex.org/W2752782242","https://openalex.org/W2782364420","https://openalex.org/W2798122215","https://openalex.org/W2884585870","https://openalex.org/W2893552484","https://openalex.org/W2896123015","https://openalex.org/W2899279931","https://openalex.org/W2921406441","https://openalex.org/W2928133111","https://openalex.org/W2953129827","https://openalex.org/W2962767316","https://openalex.org/W2962914239","https://openalex.org/W2964227007","https://openalex.org/W2964309882","https://openalex.org/W2965669393","https://openalex.org/W2982397699","https://openalex.org/W2996290406","https://openalex.org/W3014974815","https://openalex.org/W3092462072","https://openalex.org/W3101507774","https://openalex.org/W3106524252","https://openalex.org/W3112701542","https://openalex.org/W3122445164","https://openalex.org/W3127751679","https://openalex.org/W3170841864","https://openalex.org/W4212875960","https://openalex.org/W4321232185","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6750469568","https://openalex.org/W6753412334","https://openalex.org/W6786721763","https://openalex.org/W6789654255","https://openalex.org/W6790275670","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"As":[0],"a":[1,56,64,78,94],"challenge":[2],"in":[3,35,46],"the":[4,17,25,36,39,51,86],"field":[5,58],"of":[6,43,59,97],"smart":[7],"medicine,":[8],"medical":[9,66],"picture":[10],"segmentation":[11,68,112,116],"gives":[12],"important":[13],"decisions":[14],"and":[15,73,104,114,122,140],"is":[16],"basis":[18],"for":[19],"future":[20],"diagnosis":[21],"by":[22,92,100],"doctors.":[23],"In":[24],"past":[26],"decade,":[27],"FCN-based":[28],"network":[29,48,69,87,135],"topologies":[30,49],"have":[31],"made":[32],"amazing":[33],"progress":[34],"field.":[37],"However,":[38],"limited":[40],"perceptual":[41,98],"capacity":[42],"convolutional":[44],"kernels":[45],"FCN":[47],"limits":[50],"network\u2019s":[52],"ability":[53],"to":[54,88,120],"acquire":[55],"global":[57],"view.":[60],"We":[61],"propose":[62],"BSANet,":[63],"3D":[65],"image":[67],"based":[70],"on":[71],"self-focus":[72,103],"multi-scale":[74,105,141],"information":[75,106,142],"fusion":[76,143],"with":[77,130,136],"high-performance":[79,132],"feature":[80,133],"extraction":[81,134],"module.":[82,144],"BSANet":[83,126],"can":[84],"help":[85],"extract":[89],"deeper":[90],"features":[91],"obtaining":[93],"larger":[95],"range":[96],"capabilities":[99],"using":[101],"its":[102,131],"aggregation":[107],"pooling":[108],"modules.":[109],"Brain":[110],"tumor":[111],"dataset":[113,117],"multi-organ":[115],"are":[118],"used":[119],"train":[121],"evaluate":[123],"our":[124],"model.":[125],"produces":[127],"excellent":[128],"results":[129],"an":[137],"attention":[138],"module":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
