{"id":"https://openalex.org/W4392902467","doi":"https://doi.org/10.1109/access.2024.3379135","title":"A Tumor Segmentation Method Based on Mean-Teacher Reusing Pseudo-Labels","display_name":"A Tumor Segmentation Method Based on Mean-Teacher Reusing Pseudo-Labels","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392902467","doi":"https://doi.org/10.1109/access.2024.3379135"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3379135","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3379135","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474362.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/ielx7/6287639/6514899/10474362.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065179368","display_name":"Chengyu Jiang","orcid":"https://orcid.org/0000-0003-0570-2709"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengyu Jiang","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Science and Technology, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022821709","display_name":"Shangkun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangkun Liu","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Science and Technology, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432460","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0002-2182-2228"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Science and Technology, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101285535","display_name":"Shi-Cheng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shicheng Guo","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Science and Technology, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101861168","display_name":"Weimin Zheng","orcid":"https://orcid.org/0000-0003-3860-4208"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Zheng","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao, China","Shandong University of Science and Technology, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065179368"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7183,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73227452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"41942","last_page":"41953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.8099043369293213},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7490755319595337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7470335364341736},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7277325391769409},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5872220396995544},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5388635396957397},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.535914421081543},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5248232483863831},{"id":"https://openalex.org/keywords/breast-tumor","display_name":"Breast tumor","score":0.524573802947998},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4817250072956085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.431434690952301},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4281397759914398},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4108954668045044},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.3782307803630829},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36721158027648926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32408812642097473},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1195305585861206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08319392800331116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099043369293213},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7490755319595337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7470335364341736},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7277325391769409},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5872220396995544},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5388635396957397},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.535914421081543},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5248232483863831},{"id":"https://openalex.org/C2986637895","wikidata":"https://www.wikidata.org/wiki/Q953865","display_name":"Breast tumor","level":4,"score":0.524573802947998},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4817250072956085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.431434690952301},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4281397759914398},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4108954668045044},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.3782307803630829},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36721158027648926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32408812642097473},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1195305585861206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08319392800331116},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3379135","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3379135","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474362.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:862dadea20304adbbc76dd8ffaa819e2","is_oa":true,"landing_page_url":"https://doaj.org/article/862dadea20304adbbc76dd8ffaa819e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 41942-41953 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3379135","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3379135","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474362.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":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2954701993","display_name":null,"funder_award_id":"ZR2022","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7478213219","display_name":null,"funder_award_id":"ZR2022LZH014","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392902467.pdf","grobid_xml":"https://content.openalex.org/works/W4392902467.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2464708700","https://openalex.org/W2752782242","https://openalex.org/W2798122215","https://openalex.org/W2884436604","https://openalex.org/W2907101105","https://openalex.org/W2907750714","https://openalex.org/W2951584860","https://openalex.org/W2951970475","https://openalex.org/W2979433110","https://openalex.org/W2991372685","https://openalex.org/W2999580839","https://openalex.org/W3006548976","https://openalex.org/W3015788359","https://openalex.org/W3031923721","https://openalex.org/W3035680157","https://openalex.org/W3046387678","https://openalex.org/W3097337894","https://openalex.org/W3127751679","https://openalex.org/W3171581326","https://openalex.org/W3172949220","https://openalex.org/W3182353217","https://openalex.org/W3202542211","https://openalex.org/W3204166336","https://openalex.org/W3204221214","https://openalex.org/W3204614423","https://openalex.org/W3217571210","https://openalex.org/W4200489582","https://openalex.org/W4220680920","https://openalex.org/W4220723869","https://openalex.org/W4220989501","https://openalex.org/W4226367203","https://openalex.org/W4282935002","https://openalex.org/W4286436493","https://openalex.org/W4287322212","https://openalex.org/W4295939732","https://openalex.org/W4309648563","https://openalex.org/W4312203799","https://openalex.org/W4312651959","https://openalex.org/W4315754639","https://openalex.org/W4317515509","https://openalex.org/W4319216049","https://openalex.org/W4319300365","https://openalex.org/W4322123516","https://openalex.org/W4366226598","https://openalex.org/W4375947652","https://openalex.org/W4382450048","https://openalex.org/W4385245566","https://openalex.org/W4385260532","https://openalex.org/W4386075981","https://openalex.org/W4386833253","https://openalex.org/W4387339416","https://openalex.org/W6684191040","https://openalex.org/W6733814495","https://openalex.org/W6750469568","https://openalex.org/W6754433467","https://openalex.org/W6764051988"],"related_works":["https://openalex.org/W3020588946","https://openalex.org/W2478167448","https://openalex.org/W2117952144","https://openalex.org/W2364180410","https://openalex.org/W4379196800","https://openalex.org/W3091864250","https://openalex.org/W2063280872","https://openalex.org/W3122972499","https://openalex.org/W2390739008","https://openalex.org/W2018993957"],"abstract_inverted_index":{"Breast":[0,170],"tumor":[1,11,26,100,200],"is":[2,12,85],"a":[3,71,86,110],"common":[4],"female":[5],"physiological":[6],"disease,":[7],"and":[8,23,32,60,93,134,146,151,185],"the":[9,15,34,38,54,78,104,123,136,139,143,149,154,165,196],"malignant":[10],"one":[13],"of":[14,19,25,40,63,80,138,153,192,198],"main":[16],"fatal":[17],"diseases":[18],"women.":[20],"Accurate":[21],"examination":[22],"assessment":[24],"shape":[27],"can":[28],"facilitate":[29],"subsequent":[30],"treatment":[31],"improve":[33],"cure":[35],"rate.":[36],"With":[37],"development":[39],"deep":[41,95],"learning,":[42],"automatic":[43],"detection":[44,74],"systems":[45],"are":[46],"designed":[47],"to":[48,69,128],"assist":[49],"doctors":[50],"in":[51,89],"diagnosis.":[52],"However,":[53],"blurry":[55],"edges,":[56],"poor":[57],"visual":[58],"quality,":[59],"irregular":[61],"shapes":[62],"breast":[64,99,199],"tumors":[65],"pose":[66],"significant":[67],"challenges":[68],"design":[70],"highly":[72,91],"efficient":[73],"system.":[75],"In":[76],"addition,":[77],"lack":[79],"publicly":[81],"available":[82,166],"labeled":[83,167],"data":[84],"major":[87],"obstacle":[88],"developing":[90],"accurate":[92],"robust":[94],"learning":[96,137],"models":[97],"for":[98,131],"detection.":[101],"To":[102],"overcome":[103],"aforementioned":[105],"issues,":[106],"we":[107],"propose":[108],"SRU-PMT+,":[109],"pseudo-label":[111],"reusing":[112,193],"Mean-Teacher":[113],"architecture":[114],"based":[115],"on":[116,164],"squeeze-and-excitation":[117],"residual":[118],"(SE-Res)":[119],"attention.":[120],"We":[121],"utilize":[122],"proposed":[124,157,179],"segmentation":[125,183],"network,":[126],"SRU-Net++,":[127],"generate":[129],"pseudo-labels":[130,145,194],"unlabeled":[132],"data,":[133],"guide":[135],"student":[140],"model":[141],"using":[142],"generated":[144],"groundtruth,":[147],"improving":[148],"accuracy":[150],"robustness":[152],"model.":[155],"Our":[156],"semi-supervised":[158],"method":[159,180],"has":[160,186],"been":[161],"rigorously":[162],"evaluated":[163],"dataset,":[168],"i.e.,":[169],"Ultrasound":[171],"Images":[172],"(BUSI)":[173],"dataset.":[174],"Results":[175],"show":[176],"that":[177],"our":[178,190],"outperforms":[181],"current":[182],"methods":[184],"good":[187],"performance.":[188],"Importantly,":[189],"strategy":[191],"improves":[195],"performance":[197],"segmentation.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
