{"id":"https://openalex.org/W4400365484","doi":"https://doi.org/10.1186/s12880-024-01346-w","title":"An improved 3D-UNet-based brain hippocampus segmentation model based on MR images","display_name":"An improved 3D-UNet-based brain hippocampus segmentation model based on MR images","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400365484","doi":"https://doi.org/10.1186/s12880-024-01346-w","pmid":"https://pubmed.ncbi.nlm.nih.gov/38970025"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-024-01346-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-024-01346-w","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01346-w","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01346-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102959831","display_name":"Qian Yang","orcid":"https://orcid.org/0000-0002-2118-5468"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yang","raw_affiliation_strings":["Information Technology Center, Taizhou University, 1139 Shifu Dadao, Taizhou City, Zhejiang Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Center, Taizhou University, 1139 Shifu Dadao, Taizhou City, Zhejiang Province, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017214284","display_name":"Chengfeng Wang","orcid":"https://orcid.org/0000-0001-9420-866X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengfeng Wang","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A & F University, 666 Wusu Street, Hangzhou, 311300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A & F University, 666 Wusu Street, Hangzhou, 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022568454","display_name":"Kaicheng Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165815","display_name":"Hangzhou Cancer Hospital","ror":"https://ror.org/05psp9534","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210165815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicheng Pan","raw_affiliation_strings":["Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China","institution_ids":["https://openalex.org/I4210165815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085266293","display_name":"Bing Xia","orcid":"https://orcid.org/0000-0002-9178-5493"},"institutions":[{"id":"https://openalex.org/I4210165815","display_name":"Hangzhou Cancer Hospital","ror":"https://ror.org/05psp9534","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210165815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Xia","raw_affiliation_strings":["Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China. bingxia_hzch@163.com","Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China. bingxia_hzch@163.com","institution_ids":["https://openalex.org/I4210165815"]},{"raw_affiliation_string":"Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China","institution_ids":["https://openalex.org/I4210165815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064878839","display_name":"Ruifei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165815","display_name":"Hangzhou Cancer Hospital","ror":"https://ror.org/05psp9534","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210165815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifei Xie","raw_affiliation_strings":["Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China. ruifei007@stu.xjtu.edu.cn","Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China. ruifei007@stu.xjtu.edu.cn","institution_ids":["https://openalex.org/I4210165815"]},{"raw_affiliation_string":"Hangzhou Cancer hospital, 34 YanGuan Lane, Hangzhou, 310002, China","institution_ids":["https://openalex.org/I4210165815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007653699","display_name":"Jiankai Shi","orcid":"https://orcid.org/0009-0003-2326-3807"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiankai Shi","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, Zhejiang, 310018, People's Republic of China. shijiankai@alu.hdu.edu.cn","School of Computer Science, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, Zhejiang, 310018, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, Zhejiang, 310018, People's Republic of China. shijiankai@alu.hdu.edu.cn","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, Zhejiang, 310018, People's Republic of China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007653699"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.6712,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90307967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"166","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.4690999984741211,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.4690999984741211,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14000000059604645,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.11029999703168869,"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/segmentation","display_name":"Segmentation","score":0.8256520628929138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726682424545288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653921008110046},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5309716463088989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5052774548530579},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4533892273902893},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45063936710357666},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4332753121852875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4277232885360718},{"id":"https://openalex.org/keywords/hippocampus","display_name":"Hippocampus","score":0.41704148054122925},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1264878213405609},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1124953031539917}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8256520628929138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726682424545288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653921008110046},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5309716463088989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5052774548530579},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4533892273902893},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45063936710357666},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4332753121852875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4277232885360718},{"id":"https://openalex.org/C2781161787","wikidata":"https://www.wikidata.org/wiki/Q48360","display_name":"Hippocampus","level":2,"score":0.41704148054122925},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1264878213405609},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1124953031539917},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"D006801","descriptor_name":"Humans","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-024-01346-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-024-01346-w","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01346-w","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38970025","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38970025","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,"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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11225132","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11225132","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11225132/pdf/12880_2024_Article_1346.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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f3b5f97d74214ed58452b6952a72dbd2","is_oa":false,"landing_page_url":"https://doaj.org/article/f3b5f97d74214ed58452b6952a72dbd2","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-024-01346-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-024-01346-w","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01346-w","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400365484.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1539992164","https://openalex.org/W1595628840","https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W1909740415","https://openalex.org/W1965160322","https://openalex.org/W1990688749","https://openalex.org/W2018662705","https://openalex.org/W2038952578","https://openalex.org/W2057382530","https://openalex.org/W2063480451","https://openalex.org/W2074470990","https://openalex.org/W2082425609","https://openalex.org/W2092087320","https://openalex.org/W2094147021","https://openalex.org/W2103043365","https://openalex.org/W2104095591","https://openalex.org/W2107529266","https://openalex.org/W2115762583","https://openalex.org/W2132948185","https://openalex.org/W2138703098","https://openalex.org/W2141604895","https://openalex.org/W2143843774","https://openalex.org/W2143973889","https://openalex.org/W2152826865","https://openalex.org/W2155492919","https://openalex.org/W2163605009","https://openalex.org/W2164307999","https://openalex.org/W2174482320","https://openalex.org/W2282915343","https://openalex.org/W2329591121","https://openalex.org/W2342966340","https://openalex.org/W2418463003","https://openalex.org/W2464708700","https://openalex.org/W2513367050","https://openalex.org/W2556022279","https://openalex.org/W2706395799","https://openalex.org/W2923038383","https://openalex.org/W2933170392","https://openalex.org/W2962914239","https://openalex.org/W2963046541","https://openalex.org/W2990354819","https://openalex.org/W3015469897","https://openalex.org/W3037061224","https://openalex.org/W3103067560","https://openalex.org/W3125454861","https://openalex.org/W3158814434","https://openalex.org/W3164623117","https://openalex.org/W3215415069","https://openalex.org/W4200511471","https://openalex.org/W4256433584","https://openalex.org/W4372356128","https://openalex.org/W4385691804","https://openalex.org/W4386461551","https://openalex.org/W4386468026","https://openalex.org/W4388862161"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W1522196789"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Accurate":[1],"delineation":[2],"of":[3,20,57,125,146,152,197,215,235,262,271,297,308,317,353,362,394,457],"the":[4,15,30,54,58,101,110,115,123,126,133,139,144,147,184,189,195,201,220,224,233,236,241,248,259,263,280,284,288,318,324,354,360,363,385,391,395,412,435,449,455],"hippocampal":[5],"region":[6],"via":[7,156],"magnetic":[8,72],"resonance":[9,73],"imaging":[10],"(MRI)":[11],"is":[12,50],"crucial":[13],"for":[14,129,170],"prevention":[16],"and":[17,27,97,114,162,174,209,257,301,332,343,379,390,405,421,452],"early":[18],"diagnosis":[19],"neurosystemic":[21],"diseases.":[22],"Determining":[23],"how":[24],"to":[25,52,85,108,121,142,187,368],"accurately":[26],"quickly":[28],"delineate":[29],"hippocampus":[31,60,111,190,429],"from":[32,61,82],"MRI":[33,62],"results":[34,230],"has":[35],"become":[36],"a":[37,43,165,292,302,439],"serious":[38],"issue.":[39],"In":[40,100,193,322,357,410],"this":[41],"study,":[42],"pixel-level":[44],"semantic":[45],"segmentation":[46,56,112,185,191,226,237,260,430,440],"method":[47],"using":[48],"3D-UNet":[49,256],"proposed":[51,396,428],"realize":[53],"automatic":[55],"brain":[59],"results.":[63],"METHODS:":[64],"Two":[65],"hundred":[66],"three-dimensional":[67],"T1-weighted":[68],"(3D-T1)":[69],"nongadolinium":[70],"contrast-enhanced":[71],"(MR)":[74],"images":[75,153],"were":[76,90,106,119,136,313,336,349],"acquired":[77],"at":[78],"Hangzhou":[79],"Cancer":[80],"Hospital":[81],"June":[83],"2020":[84],"December":[86],"2022.":[87],"These":[88],"samples":[89],"divided":[91],"into":[92,183,253,438],"two":[93],"groups,":[94],"containing":[95],"175":[96],"25":[98],"samples.":[99],"first":[102],"group,":[103],"145":[104],"cases":[105,118],"used":[107,120,137],"train":[109],"model,":[113],"remaining":[116],"30":[117],"fine-tune":[122],"hyperparameters":[124],"model.":[127,148,192,321],"Images":[128],"twenty-five":[130],"patients":[131],"in":[132],"second":[134],"group":[135],"as":[138,205],"test":[140],"set":[141,151,367],"evaluate":[143],"performance":[145,196,234,261,387],"The":[149,229,427],"training":[150],"was":[154,181,211,244,251,366],"processed":[155],"rotation,":[157],"scaling,":[158],"grey":[159],"value":[160],"augmentation":[161],"transformation":[163],"with":[164,200,213,223,266,283,291],"smooth":[166],"dense":[167],"deformation":[168],"field":[169],"both":[171],"image":[172,269,365],"data":[173],"ground":[175],"truth":[176],"labels.":[177],"A":[178],"filling":[179,221,242,249,285,436],"technique":[180,222,243,250,286,437],"introduced":[182,252],"network":[186,441,451],"establish":[188],"addition,":[194,323,358,411],"models":[198,216,264,445],"established":[199],"original":[202,225,319,450],"network,":[203],"such":[204],"VNet,":[206,254],"SegResNet,":[207,255],"UNetR":[208],"3D-UNet,":[210],"compared":[212],"that":[214,232],"constructed":[217,432],"by":[218,433],"combining":[219],"network.":[227],"RESULTS:":[228],"showed":[231],"model":[238,282,386,397,431],"improved":[239],"after":[240],"introduced.":[245],"Specifically,":[246],"when":[247,359],"UNetR,":[258],"trained":[265],"an":[267],"input":[268,364],"size":[270,361],"48":[272,274,276,369,371],"\u00d7":[273,275,370,372,375,377,381,383],"improved.":[277],"Among":[278],"them,":[279],"3D-UNet-based":[281,320],"achieved":[287],"best":[289],"performance,":[290],"Dice":[293,392],"score":[294],"(Dice":[295],"score)":[296],"0.7989":[298,399],"\u00b1":[299,310,338,341,345,400,403,407,416,419,423],"0.0398":[300],"mean":[303],"intersection":[304],"over":[305],"union":[306],"(mIoU)":[307],"0.6669":[309,415],"0.0540,":[311,417],"which":[312,348],"greater":[314],"than":[315,351,444],"those":[316,352],"oversegmentation":[325],"ratio":[326],"(OSR),":[327],"average":[328],"surface":[329],"distance":[330,334],"(ASD)":[331],"Hausdorff":[333],"(HD)":[335],"0.0666":[337],"0.0351,":[339],"0.5733":[340],"0.1018":[342],"5.1235":[344],"1.4397,":[346],"respectively,":[347],"better":[350,443],"other":[355],"models.":[356],"48,":[373],"64":[374,376,378],"96":[380,382],"96,":[384],"gradually":[388],"improved,":[389],"scores":[393],"reached":[398,414],"0.0398,":[401],"0.8371":[402],"0.0254":[404],"0.8674":[406],"0.0257,":[408],"respectively.":[409,425],"mIoUs":[413],"0.7207":[418],"0.0370":[420],"0.7668":[422],"0.0392,":[424],"CONCLUSION:":[426],"introducing":[434],"performed":[442],"built":[446],"solely":[447],"on":[448],"can":[453],"improve":[454],"efficiency":[456],"diagnostic":[458],"analysis.":[459]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}