{"id":"https://openalex.org/W7124877085","doi":"https://doi.org/10.1007/978-981-95-5634-2_24","title":"BGPCNet: Frequency Consistency and\u00a0Boundary Guided Patch Contrast for\u00a0Semi-supervised Segmentation of\u00a0Superficial Lymphatic Disease","display_name":"BGPCNet: Frequency Consistency and\u00a0Boundary Guided Patch Contrast for\u00a0Semi-supervised Segmentation of\u00a0Superficial Lymphatic Disease","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124877085","doi":"https://doi.org/10.1007/978-981-95-5634-2_24"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-5634-2_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-5634-2_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5123408358","display_name":"Yuankun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuankun Wang","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000194892","display_name":"Zhenghua Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghua Guan","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115076649","display_name":"Cheng Zhao","orcid":"https://orcid.org/0009-0004-1640-8710"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhao","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123378998","display_name":"Yingxin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152664","display_name":"Shenzhen Children's Hospital","ror":"https://ror.org/0409k5a27","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152664"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxin Liu","raw_affiliation_strings":["Department of Ultrasound, Shenzhen Children\u2019s Hospital, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Shenzhen Children\u2019s Hospital, Shenzhen, China","institution_ids":["https://openalex.org/I4210152664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111337419","display_name":"BaiYing Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123414779","display_name":"Tianfu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123428659","display_name":"Luyao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152664","display_name":"Shenzhen Children's Hospital","ror":"https://ror.org/0409k5a27","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152664"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Zhou","raw_affiliation_strings":["Department of Ultrasound, Shenzhen Children\u2019s Hospital, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Shenzhen Children\u2019s Hospital, Shenzhen, China","institution_ids":["https://openalex.org/I4210152664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5111337419","https://openalex.org/A5123414779"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41715696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"338","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.5271999835968018,"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":0.5271999835968018,"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":0.06700000166893005,"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/T10329","display_name":"Thyroid Cancer Diagnosis and Treatment","score":0.04039999842643738,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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":0.631600022315979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5561000108718872},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5447999835014343},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4943000078201294},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4392000138759613},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.43639999628067017},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.41499999165534973},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3935000002384186},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3822000026702881},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.3792000114917755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7712000012397766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894000172615051},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.631600022315979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5447999835014343},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4943000078201294},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.41499999165534973},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3822000026702881},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.3792000114917755},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.3499000072479248},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31929999589920044},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3138999938964844},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2782000005245209},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2574999928474426},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-95-5634-2_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-5634-2_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6826735734939575}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1746458738","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2778764040","https://openalex.org/W2964227007","https://openalex.org/W2979907638","https://openalex.org/W2996290406","https://openalex.org/W3035680157","https://openalex.org/W3157653192","https://openalex.org/W3165252795","https://openalex.org/W3171581326","https://openalex.org/W3172949220","https://openalex.org/W3203488660","https://openalex.org/W4312310512","https://openalex.org/W4312377253","https://openalex.org/W4386065420","https://openalex.org/W4402727208","https://openalex.org/W4402727256","https://openalex.org/W4402808690","https://openalex.org/W4403049263","https://openalex.org/W4403071865","https://openalex.org/W4403150334","https://openalex.org/W4403619442","https://openalex.org/W4414243662","https://openalex.org/W4415796023"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}
