{"id":"https://openalex.org/W4385635804","doi":"https://doi.org/10.1038/s41598-023-39240-0","title":"Research on liver cancer segmentation method based on PCNN image processing and SE-ResUnet","display_name":"Research on liver cancer segmentation method based on PCNN image processing and SE-ResUnet","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4385635804","doi":"https://doi.org/10.1038/s41598-023-39240-0","pmid":"https://pubmed.ncbi.nlm.nih.gov/37550341","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10406939"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-023-39240-0","doi":"https://doi.org/10.1038/s41598-023-39240-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-023-39240-0","pdf_url":"https://www.nature.com/articles/s41598-023-39240-0.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-023-39240-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087748556","display_name":"Lan Zang","orcid":"https://orcid.org/0000-0002-2307-6644","observed_orcids":["https://orcid.org/0000-0002-2307-6644"]},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I4405270833","display_name":"State Key Laboratory of Marine Resource Utilization in South China Sea","ror":"https://ror.org/01cxrm205","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270833"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Zang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, 570228, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China","School of Information and Communication Engineering, Hainan University, Haikou, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, 570228, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China","institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4405270833"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4405270833"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Liang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I4405270833","display_name":"State Key Laboratory of Marine Resource Utilization in South China Sea","ror":"https://ror.org/01cxrm205","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270833"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, 570228, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China","School of Information and Communication Engineering, Hainan University, Haikou, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, 570228, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China","institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4405270833"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4405270833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111021001","display_name":"Hanchu Ke","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanchu Ke","raw_affiliation_strings":["School of Electronic Science and Technology, Hainan University, Haikou, 570288, China. 1020118105@qq.com","School of Electronic Science and Technology, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Technology, Hainan University, Haikou, 570288, China. 1020118105@qq.com","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"School of Electronic Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352727","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-9129-7895","observed_orcids":["https://orcid.org/0000-0002-9129-7895","https://orcid.org/0000-0002-5518-0331"]},"institutions":[{"id":"https://openalex.org/I4210128478","display_name":"Hainan General Hospital","ror":"https://ror.org/030sr2v21","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128478"]},{"id":"https://openalex.org/I79731167","display_name":"Hainan Medical University","ror":"https://ror.org/004eeze55","country_code":"CN","type":"education","lineage":["https://openalex.org/I79731167"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Chen","raw_affiliation_strings":["Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, 570216, China. fenger0802@163.com","Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, 570216, China. fenger0802@163.com","institution_ids":["https://openalex.org/I4210128478","https://openalex.org/I79731167"]},{"raw_affiliation_string":"Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China","institution_ids":["https://openalex.org/I4210128478","https://openalex.org/I79731167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036781982","display_name":"Chong Shen","orcid":"https://orcid.org/0000-0001-5935-7723","observed_orcids":["https://orcid.org/0000-0001-5935-7723","https://orcid.org/0000-0001-6447-6591"]},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I4405270833","display_name":"State Key Laboratory of Marine Resource Utilization in South China Sea","ror":"https://ror.org/01cxrm205","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270833"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Shen","raw_affiliation_strings":["School of Electronic Science and Technology, Hainan University, Haikou, 570288, China. chongshen@hainanu.edu.cn","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China. chongshen@hainanu.edu.cn","School of Electronic Science and Technology, Hainan University, Haikou, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Technology, Hainan University, Haikou, 570288, China. chongshen@hainanu.edu.cn","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China. chongshen@hainanu.edu.cn","institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4405270833"]},{"raw_affiliation_string":"School of Electronic Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4405270833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036781982","https://openalex.org/A5100352727","https://openalex.org/A5111021001"],"corresponding_institution_ids":["https://openalex.org/I20942203","https://openalex.org/I4210128478","https://openalex.org/I4405270833","https://openalex.org/I79731167"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":2.1219,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88795524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"12779","last_page":"12779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9868000149726868,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9868000149726868,"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/T10862","display_name":"AI in cancer detection","score":0.009200000204145908,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0007999999797903001,"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/liver-tumor-segmentation","display_name":"liver tumor segmentation","score":0.6269999742507935},{"id":"https://openalex.org/keywords/pulse-coupled-neural-network","display_name":"pulse coupled neural network","score":0.843999981880188},{"id":"https://openalex.org/keywords/image-filtering","display_name":"image filtering","score":0.5019999742507935},{"id":"https://openalex.org/keywords/squeeze-and-excitation-module","display_name":"squeeze-and-excitation module","score":0.8360000252723694},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.7450000047683716},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"bilinear interpolation","score":0.781000018119812},{"id":"https://openalex.org/keywords/lits-dataset","display_name":"LiTS dataset","score":0.5379999876022339},{"id":"https://openalex.org/keywords/medical-image-segmentation","display_name":"medical image segmentation","score":0.8659999966621399}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7744801044464111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170672416687012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6480695009231567},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5807280540466309},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5760142803192139},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5681495666503906},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5602707266807556},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5443768501281738},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5342701077461243},{"id":"https://openalex.org/C2776231280","wikidata":"https://www.wikidata.org/wiki/Q623031","display_name":"Liver cancer","level":3,"score":0.5033685564994812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5026366710662842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48415881395339966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4742366671562195},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3708904981613159},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3667948246002197},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.32011768221855164},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19875717163085938},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1464197337627411},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008113","descriptor_name":"Liver Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1038/s41598-023-39240-0","doi":"https://doi.org/10.1038/s41598-023-39240-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-023-39240-0","pdf_url":"https://www.nature.com/articles/s41598-023-39240-0.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-2677885/v1","doi":"https://doi.org/10.21203/rs.3.rs-2677885/v1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21203/rs.3.rs-2677885/v1","pdf_url":"https://www.researchsquare.com/article/rs-2677885/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},{"id":"pmh:oai:pubmedcentral.nih.gov:10406939","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10406939","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10406939/pdf/41598_2023_Article_39240.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmid:37550341","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37550341","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:a4b98a77fa3e4d0e87deec0a9bef646e","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a4b98a77fa3e4d0e87deec0a9bef646e","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,"listed_in":[],"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":"Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1038/s41598-023-39240-0","doi":"https://doi.org/10.1038/s41598-023-39240-0","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-023-39240-0","pdf_url":"https://www.nature.com/articles/s41598-023-39240-0.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8371999859809875}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385635804.pdf","grobid_xml":"https://content.openalex.org/works/W4385635804.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1197165690","https://openalex.org/W1981989535","https://openalex.org/W2026911142","https://openalex.org/W2030089983","https://openalex.org/W2174661749","https://openalex.org/W2282592240","https://openalex.org/W2346343836","https://openalex.org/W2363693890","https://openalex.org/W2420085356","https://openalex.org/W2530204826","https://openalex.org/W2888888640","https://openalex.org/W2890748224","https://openalex.org/W2909387555","https://openalex.org/W2916686134","https://openalex.org/W2964227007","https://openalex.org/W2985140510","https://openalex.org/W2998589268","https://openalex.org/W3006169930","https://openalex.org/W3013198566","https://openalex.org/W3021627230","https://openalex.org/W3082183205","https://openalex.org/W3087642760","https://openalex.org/W3130280523","https://openalex.org/W3133394016","https://openalex.org/W3170841864","https://openalex.org/W3212381411","https://openalex.org/W4205674042","https://openalex.org/W4220815429","https://openalex.org/W4229020397","https://openalex.org/W4281620362","https://openalex.org/W4281711968","https://openalex.org/W4281742004","https://openalex.org/W4304118770","https://openalex.org/W4306682594","https://openalex.org/W4307725663","https://openalex.org/W4308993668","https://openalex.org/W4365447146","https://openalex.org/W4366496741","https://openalex.org/W4367849141","https://openalex.org/W4372328979","https://openalex.org/W4372337084","https://openalex.org/W4375954614","https://openalex.org/W4375955627","https://openalex.org/W4376121920"],"related_works":["https://openalex.org/W4360994741","https://openalex.org/W3089914759","https://openalex.org/W4290466595","https://openalex.org/W4403022751","https://openalex.org/W4403397663","https://openalex.org/W4393061456","https://openalex.org/W4319067622","https://openalex.org/W4386558814","https://openalex.org/W4388023124","https://openalex.org/W4406263751"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,12,27,97,126],"the":[3,9,20,23,28,62,77,82,86,89,95,98,108,116,149,154],"malignant":[4],"tumors":[5],"with":[6],"high":[7],"mortality,":[8],"initial":[10],"symptoms":[11],"liver":[13,21,46],"cancer":[14,47,177],"are":[15,36],"not":[16],"obvious.":[17],"In":[18],"addition,":[19],"is":[22,64,73,92,105,123,169],"largest":[24],"internal":[25],"organ":[26],"human":[29],"body,":[30],"and":[31,34,66,101,118,131,146,153,158],"its":[32,103],"structure":[33],"distribution":[35],"relatively":[37],"complex.":[38],"Therefore,":[39],"in":[40],"order":[41],"to":[42,75,80,107,114,176],"help":[43],"doctors":[44],"judge":[45],"more":[48],"accurately,":[49],"this":[50,140],"paper":[51],"proposes":[52],"a":[53,124,170],"variant":[54],"model":[55,110],"based":[56],"on":[57],"Unet":[58,109,151],"network.":[59],"Before":[60],"segmentation,":[61],"image":[63,78,83],"preprocessed,":[65],"Pulse":[67],"Coupled":[68],"Neural":[69],"Network":[70],"(PCNN)":[71],"algorithm":[72],"used":[74,93],"filter":[76],"adaptively":[79],"make":[81],"clearer.":[84],"For":[85],"segmentation":[87,144],"model,":[88],"SE":[90],"module":[91],"as":[94],"input":[96],"residual":[99],"network,":[100],"then":[102],"output":[104],"connected":[106],"through":[111],"bilinear":[112],"interpolation":[113],"perform":[115],"down-sampling":[117],"up-sampling":[119],"operations.":[120],"The":[121,136],"dataset":[122],"combination":[125],"Hainan":[127],"Provincial":[128],"People's":[129],"Hospital":[130],"some":[132],"public":[133],"datasets":[134],"Lits.":[135],"results":[137],"show":[138],"that":[139,172],"method":[141,171],"has":[142],"better":[143],"performance":[145],"accuracy":[147],"than":[148],"original":[150],"method,":[152],"dice":[155],"coefficient,":[156],"mIou":[157],"other":[159],"evaluation":[160],"indicators":[161],"have":[162],"increased":[163],"by":[164],"at":[165],"least":[166],"2.1%,":[167],"which":[168],"can":[173],"be":[174],"applied":[175],"segmentation.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-08-08T00:00:00"}