{"id":"https://openalex.org/W4382753507","doi":"https://doi.org/10.1109/access.2023.3289909","title":"A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation","display_name":"A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382753507","doi":"https://doi.org/10.1109/access.2023.3289909"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3289909","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3289909","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168904.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/ielx7/6287639/6514899/10168904.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100319820","display_name":"Zhihua Li","orcid":"https://orcid.org/0000-0001-6564-6927"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Li","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-6564-6927","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005951414","display_name":"Qiwei Xing","orcid":"https://orcid.org/0000-0002-5060-8669"},"institutions":[{"id":"https://openalex.org/I4210089944","display_name":"Qiongtai Teachers College","ror":"https://ror.org/00e42ba10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210089944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Xing","raw_affiliation_strings":["Institute for Educational Big Data and Artificial Intelligence, Qiongtai Normal University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0002-5060-8669","affiliations":[{"raw_affiliation_string":"Institute for Educational Big Data and Artificial Intelligence, Qiongtai Normal University, Haikou, China","institution_ids":["https://openalex.org/I4210089944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428144","display_name":"Yanfang Li","orcid":"https://orcid.org/0000-0003-2761-0282"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfang Li","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566589","display_name":"Wei He","orcid":"https://orcid.org/0000-0002-2763-4797"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei He","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001340373","display_name":"Miao Yu","orcid":"https://orcid.org/0000-0003-4180-5094"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Miao","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103661299","display_name":"Bai Ji","orcid":"https://orcid.org/0000-0002-9744-450X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210125137","display_name":"First Hospital of Jilin University","ror":"https://ror.org/034haf133","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Ji","raw_affiliation_strings":["The First Hospital of Jilin University, Changchun, China","The First Hospital of Jilin University, Changchun City, Jilin Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Hospital of Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210125137"]},{"raw_affiliation_string":"The First Hospital of Jilin University, Changchun City, Jilin Province, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210125137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027638316","display_name":"Weili Shi","orcid":"https://orcid.org/0000-0001-6347-739X"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weili Shi","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048800025","display_name":"Zhengang Jiang","orcid":"https://orcid.org/0000-0001-6315-243X"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengang Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China"],"raw_orcid":"https://orcid.org/0000-0001-6315-243X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.6839,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65932112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"66050","last_page":"66062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8079880475997925},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7361878156661987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6976111531257629},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5686015486717224},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5505993366241455},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5254372954368591},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5152587890625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5077611207962036},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4911637008190155},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47665029764175415},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4753560721874237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4516248106956482},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4220818877220154},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3787105977535248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35590434074401855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17912748456001282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8079880475997925},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7361878156661987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6976111531257629},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5686015486717224},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5505993366241455},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5254372954368591},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5152587890625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5077611207962036},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4911637008190155},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47665029764175415},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4753560721874237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4516248106956482},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4220818877220154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3787105977535248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35590434074401855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17912748456001282},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3289909","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3289909","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168904.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:e42e1ccd2e6040649f1c37c9363a7fbc","is_oa":true,"landing_page_url":"https://doaj.org/article/e42e1ccd2e6040649f1c37c9363a7fbc","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 66050-66062 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3289909","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3289909","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168904.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":[{"id":"https://openalex.org/G8093194268","display_name":"\u57fa\u4e8e\u591a\u6a21\u6001\u8111\u80bf\u7624\u533b\u5b66\u5f71\u50cf\u5206\u5272\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"823QN258","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"}],"funders":[{"id":"https://openalex.org/F4320322300","display_name":"Jilin University","ror":"https://ror.org/00js3aw79"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327292","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44"},{"id":"https://openalex.org/F4320336564","display_name":"First Hospital of Jilin University","ror":"https://ror.org/034haf133"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382753507.pdf","grobid_xml":"https://content.openalex.org/works/W4382753507.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1969408734","https://openalex.org/W1974506441","https://openalex.org/W1983581495","https://openalex.org/W1988197433","https://openalex.org/W2053555512","https://openalex.org/W2138621090","https://openalex.org/W2235915136","https://openalex.org/W2301358467","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2774320778","https://openalex.org/W2798791651","https://openalex.org/W2888358068","https://openalex.org/W2937085287","https://openalex.org/W2955058313","https://openalex.org/W2957267206","https://openalex.org/W2959321301","https://openalex.org/W2963706010","https://openalex.org/W2963727650","https://openalex.org/W2963728414","https://openalex.org/W2963775347","https://openalex.org/W2964227007","https://openalex.org/W2966967545","https://openalex.org/W2979849835","https://openalex.org/W2980059675","https://openalex.org/W2980111715","https://openalex.org/W2980185997","https://openalex.org/W2998623274","https://openalex.org/W2998711662","https://openalex.org/W3003299879","https://openalex.org/W3009475780","https://openalex.org/W3022713997","https://openalex.org/W3026947018","https://openalex.org/W3029253863","https://openalex.org/W3040090744","https://openalex.org/W3042519501","https://openalex.org/W3082607403","https://openalex.org/W3091611038","https://openalex.org/W3114417845","https://openalex.org/W3121252156","https://openalex.org/W3137895856","https://openalex.org/W3153303671","https://openalex.org/W3155436006","https://openalex.org/W3164581645","https://openalex.org/W3166430332","https://openalex.org/W3191675159","https://openalex.org/W3193885505","https://openalex.org/W3201218192","https://openalex.org/W4205457781","https://openalex.org/W4213143248","https://openalex.org/W4221034530","https://openalex.org/W4224236430","https://openalex.org/W4225783783","https://openalex.org/W4281676211","https://openalex.org/W4290860705","https://openalex.org/W4292387139","https://openalex.org/W4312347812"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W4321487865","https://openalex.org/W3155418658","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Post-stroke":[0],"neuroimaging":[1],"is":[2,15,109,121],"the":[3,6,22,28,38,52,55,65,104,112,117,125,131,137,144,152,156,163,179,185,188,191,197,213,219],"key":[4],"to":[5,123,149],"treatment":[7],"of":[8,25,30,43,54,82,87,107,127,162,187,201],"brain":[9],"stroke.":[10],"Typically,":[11],"segmenting":[12],"lesions":[13,26,78],"manually":[14],"not":[16,63],"only":[17],"time-consuming,":[18],"but":[19],"limited":[20],"by":[21,111,178],"varying":[23],"morphology":[24],"and":[27,40,84,116,133,139,222],"similarity":[29],"tissue":[31],"intensity":[32],"distribution.":[33],"In":[34],"recent":[35],"years,":[36],"with":[37,175,181],"rapidly":[39],"widely":[41],"applying":[42],"deep":[44],"learning":[45],"technology":[46],"in":[47,130,218],"medical":[48],"imaging,":[49],"it":[50],"becomes":[51],"one":[53],"hot-spots.":[56],"However,":[57],"most":[58],"stroke":[59,98],"segmentation":[60,99,153,215],"techniques":[61],"could":[62],"utilize":[64],"structural":[66],"symmetry":[67],"information":[68,129,172],"efficiently.":[69],"Moreover,":[70],"there":[71],"are":[72,194],"several":[73],"problems,":[74],"such":[75],"as":[76],"diverse":[77],"location,":[79],"large":[80],"changes":[81],"scale":[83],"unclear":[85],"boundaries":[86],"lesions.":[88],"To":[89,183],"address":[90],"these":[91],"shortcomings,":[92],"this":[93,141],"paper":[94,142],"presents":[95],"a":[96],"novel":[97],"model,":[100],"called":[101],"BSSNet.":[102],"Firstly,":[103],"standard":[105],"convolution":[106],"U-Net":[108],"replaced":[110],"Depth-Wise":[113],"Separable":[114],"Convolution(DWSC)":[115],"residual":[118],"connection":[119,165],"operation":[120],"used":[122],"reduce":[124],"loss":[126],"feature":[128],"encoder":[132,138],"decoder.":[134],"Secondly,":[135],"between":[136],"decoder,":[140],"introduces":[143],"Multi-Scale":[145],"Channel":[146],"Attention(MSCA)":[147],"module":[148,159],"effectively":[150],"improve":[151],"performance.":[154],"Finally,":[155],"Attention-Guided":[157],"Connection(AGC)":[158],"takes":[160],"place":[161],"original":[164],"operation,":[166],"which":[167],"can":[168],"select":[169],"more":[170],"context":[171],"from":[173],"features":[174,180],"low-level":[176],"guided":[177],"high-level.":[182],"demonstrate":[184],"advantages":[186],"proposed":[189],"BSSNet,":[190],"comparison":[192],"experiments":[193],"conducted":[195],"on":[196],"open":[198],"Anatomical":[199],"Tracings":[200],"Lesions":[202],"After":[203],"Stroke(ATLAS)":[204],"datasets.":[205],"Experiment":[206],"results":[207],"shows":[208],"that":[209],"our":[210],"model":[211],"outperforms":[212],"state-of-the-art":[214],"methods":[216],"both":[217],"quantitative":[220],"metrics":[221],"visual":[223],"effects.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}