{"id":"https://openalex.org/W4387617742","doi":"https://doi.org/10.1186/s12880-023-01103-5","title":"DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism","display_name":"DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387617742","doi":"https://doi.org/10.1186/s12880-023-01103-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/37833644"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-023-01103-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01103-5","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01103-5","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/s12880-023-01103-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100764350","display_name":"Han Wang","orcid":"https://orcid.org/0000-0002-4615-3980"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cai Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Lei","raw_affiliation_strings":["Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643328","display_name":"Di Zhao","orcid":"https://orcid.org/0000-0001-7683-2346"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Zhao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. zhaodi@escience.cn","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. zhaodi@escience.cn","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037444055","display_name":"Liwei Gao","orcid":"https://orcid.org/0000-0003-1362-5002"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liwei Gao","raw_affiliation_strings":["Department of Radiation Oncology China, Japan Friendship Hospital, Beijing, China. jassongao@163.com","Department of Radiation Oncology China, Japan Friendship Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology China, Japan Friendship Hospital, Beijing, China. jassongao@163.com","institution_ids":["https://openalex.org/I2801051648"]},{"raw_affiliation_string":"Department of Radiation Oncology China, Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078894109","display_name":"Jingyang Gao","orcid":"https://orcid.org/0000-0003-1270-6257"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyang Gao","raw_affiliation_strings":["Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. gaojy@mail.buct.edu.cn","Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. gaojy@mail.buct.edu.cn","institution_ids":["https://openalex.org/I75390827","https://openalex.org/I78675632"]},{"raw_affiliation_string":"Department of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037444055","https://openalex.org/A5078894109","https://openalex.org/A5100643328"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2801051648","https://openalex.org/I4210090176","https://openalex.org/I75390827","https://openalex.org/I78675632"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":0.8461,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71421976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"158","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.19439999759197235,"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":0.19439999759197235,"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":0.1826999932527542,"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/T10448","display_name":"Memory and Neural Mechanisms","score":0.14910000562667847,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8232703804969788},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8057165145874023},{"id":"https://openalex.org/keywords/hippocampus","display_name":"Hippocampus","score":0.6725742816925049},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6490350365638733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6462746858596802},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5208756923675537},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5042442083358765},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.44747820496559143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4457460641860962},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2144717276096344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232703804969788},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8057165145874023},{"id":"https://openalex.org/C2781161787","wikidata":"https://www.wikidata.org/wiki/Q48360","display_name":"Hippocampus","level":2,"score":0.6725742816925049},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6490350365638733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6462746858596802},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5208756923675537},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5042442083358765},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.44747820496559143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4457460641860962},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2144717276096344},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","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":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","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}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-023-01103-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01103-5","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01103-5","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:37833644","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37833644","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":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10576314","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10576314","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10576314/pdf/12880_2023_Article_1103.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:caeb1b93cac84bfab297e752ef2b2091","is_oa":true,"landing_page_url":"https://doaj.org/article/caeb1b93cac84bfab297e752ef2b2091","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 23, Iss 1, Pp 1-15 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-023-01103-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01103-5","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01103-5","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":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2203145088","display_name":null,"funder_award_id":"Z161100000216143","funder_id":"https://openalex.org/F4320335843","funder_display_name":"Beijing Science and Technology Planning Project"},{"id":"https://openalex.org/G4480473622","display_name":null,"funder_award_id":"Z171100000117001","funder_id":"https://openalex.org/F4320335843","funder_display_name":"Beijing Science and Technology Planning Project"},{"id":"https://openalex.org/G6410591768","display_name":null,"funder_award_id":"Z161100000216143,Z171100000117001","funder_id":"https://openalex.org/F4320335843","funder_display_name":"Beijing Science and Technology Planning Project"}],"funders":[{"id":"https://openalex.org/F4320335843","display_name":"Beijing Science and Technology Planning Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387617742.pdf","grobid_xml":"https://content.openalex.org/works/W4387617742.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W1910657905","https://openalex.org/W2041732401","https://openalex.org/W2061730652","https://openalex.org/W2074280539","https://openalex.org/W2078524519","https://openalex.org/W2089940272","https://openalex.org/W2095102390","https://openalex.org/W2097117768","https://openalex.org/W2111913931","https://openalex.org/W2136145485","https://openalex.org/W2142903958","https://openalex.org/W2151602227","https://openalex.org/W2159886305","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2432481613","https://openalex.org/W2517818012","https://openalex.org/W2530506442","https://openalex.org/W2557738935","https://openalex.org/W2560023338","https://openalex.org/W2560311620","https://openalex.org/W2593228870","https://openalex.org/W2613326680","https://openalex.org/W2618530766","https://openalex.org/W2671045400","https://openalex.org/W2796409016","https://openalex.org/W2801761532","https://openalex.org/W2884974380","https://openalex.org/W2962914239","https://openalex.org/W2964227007","https://openalex.org/W3001520180","https://openalex.org/W4234552385","https://openalex.org/W4241074797","https://openalex.org/W6739901393","https://openalex.org/W6943792282","https://openalex.org/W6944160675"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2045342254","https://openalex.org/W2535231171","https://openalex.org/W2142182663","https://openalex.org/W1501331687","https://openalex.org/W4255512592","https://openalex.org/W2501551404","https://openalex.org/W4315434538","https://openalex.org/W2326647871","https://openalex.org/W4205247302"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1],"hippocampus":[2,20,28,131,188],"is":[3,29,82,102,175,191],"a":[4,61,67,134],"key":[5],"area":[6],"of":[7,26,30,40,78,112,125,144,169,183,187,203],"the":[8,19,24,27,41,52,79,85,97,113,119,123,140,145,150,167],"brain":[9],"responsible":[10],"for":[11,33,75],"learning,":[12],"memory,":[13],"and":[14,21,37,138,142,153,157,185],"other":[15,161],"abilities.":[16],"Accurately":[17],"segmenting":[18],"precisely":[22],"calculating":[23],"volume":[25],"great":[31],"significance":[32],"predicting":[34],"Alzheimer's":[35],"disease":[36],"amnesia.":[38],"Most":[39],"segmentation":[42,77,98,202],"algorithms":[43],"currently":[44],"involved":[45],"are":[46],"based":[47,65,83],"on":[48,66,84],"templates,":[49],"such":[50],"as":[51],"more":[53],"popular":[54],"FreeSufer.":[55],"METHODS:":[56],"This":[57],"study":[58],"proposes":[59],"Deephipp,":[60],"deep":[62,194],"learning":[63,195],"network":[64],"3D":[68,106],"dense":[69],"block":[70],"using":[71],"an":[72,200],"attention":[73,120],"mechanism":[74,121],"accurate":[76],"hippocampus.":[80,114],"DeepHipp":[81,89,101,116,170],"following":[86],"novelties:":[87],"(i)":[88],"adopts":[90],"powerful":[91],"data":[92],"augmentation":[93],"schemes":[94],"to":[95,104,108,177,199],"enhance":[96],"ability.":[99],"(ii)":[100],"designed":[103],"incorporate":[105],"dense-block":[107],"capture":[109],"multiple-scale":[110],"features":[111],"(iii)":[115],"creatively":[117],"uses":[118],"in":[122,133,181],"field":[124],"hippocampal":[126],"image":[127],"segmentation,":[128],"extracting":[129],"useful":[130],"information":[132],"massive":[135],"feature":[136],"map,":[137],"improving":[139],"accuracy":[141,168,184],"sensitivity":[143],"model.":[146],"CONCLUSIONS:":[147],"We":[148],"describe":[149],"illustrative":[151],"results":[152],"show":[154],"extensive":[155],"qualitative":[156],"quantitative":[158],"comparisons":[159],"with":[160],"methods.":[162],"Our":[163],"achievement":[164],"demonstrates":[165],"that":[166,193],"can":[171,196],"reach":[172],"83.63%,":[173],"which":[174],"superior":[176],"most":[178],"existing":[179],"methods":[180],"terms":[182],"efficiency":[186],"segmentation.":[189],"It":[190],"noticeable":[192],"potentially":[197],"lead":[198],"effective":[201],"medical":[204],"images.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}
