{"id":"https://openalex.org/W2945907717","doi":"https://doi.org/10.1145/3319921.3319941","title":"Three-Dimensional Segmentation of Hippocampus in Brain MRI Images Based on 3CN-net","display_name":"Three-Dimensional Segmentation of Hippocampus in Brain MRI Images Based on 3CN-net","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2945907717","doi":"https://doi.org/10.1145/3319921.3319941","mag":"2945907717"},"language":"en","primary_location":{"id":"doi:10.1145/3319921.3319941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319921.3319941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5101773594","display_name":"Chao Jia","orcid":"https://orcid.org/0000-0001-8706-0935"},"institutions":[{"id":"https://openalex.org/I4400600917","display_name":"Guangzhou College of Commerce","ror":"https://ror.org/04f0j5d06","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600917"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Jia","raw_affiliation_strings":["Guangzhou College of Commerce, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou College of Commerce, Guangzhou, China","institution_ids":["https://openalex.org/I4400600917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407437","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0002-4095-7531"},"institutions":[{"id":"https://openalex.org/I4400600917","display_name":"Guangzhou College of Commerce","ror":"https://ror.org/04f0j5d06","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Guangzhou College of Commerce, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou College of Commerce, Guangzhou, China","institution_ids":["https://openalex.org/I4400600917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010166057","display_name":"Fanshu Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanshu Kong","raw_affiliation_strings":["Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076406655","display_name":"Changrun Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4400600917","display_name":"Guangzhou College of Commerce","ror":"https://ror.org/04f0j5d06","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changrun Jia","raw_affiliation_strings":["Guangzhou College of Commerce, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou College of Commerce, Guangzhou, China","institution_ids":["https://openalex.org/I4400600917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101773594"],"corresponding_institution_ids":["https://openalex.org/I4400600917"],"apc_list":null,"apc_paid":null,"fwci":0.2146,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58463788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9984999895095825,"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":0.9966999888420105,"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":0.7917382121086121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7637889385223389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7309061288833618},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6107092499732971},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6027648448944092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.554955005645752},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5485419631004333},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5399707555770874},{"id":"https://openalex.org/keywords/hippocampus","display_name":"Hippocampus","score":0.5282396674156189},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4492352604866028},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44503769278526306},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4343382716178894},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1951143443584442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13343274593353271},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1314573884010315}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7917382121086121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637889385223389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7309061288833618},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6107092499732971},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6027648448944092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.554955005645752},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5485419631004333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5399707555770874},{"id":"https://openalex.org/C2781161787","wikidata":"https://www.wikidata.org/wiki/Q48360","display_name":"Hippocampus","level":2,"score":0.5282396674156189},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4492352604866028},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44503769278526306},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4343382716178894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1951143443584442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13343274593353271},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1314573884010315},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319921.3319941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319921.3319941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2028158228","https://openalex.org/W2140311185","https://openalex.org/W2464708700","https://openalex.org/W2538556778","https://openalex.org/W2607941059","https://openalex.org/W2611353153","https://openalex.org/W2621028221","https://openalex.org/W2626997132","https://openalex.org/W2788093030"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"The":[0],"hippocampus":[1,77,108],"is":[2,17,46,80,115],"very":[3],"small,":[4],"with":[5,14,117],"complex":[6],"in":[7,19,109],"shape":[8],"and":[9,11,67,72,96,102],"structure,":[10],"its":[12],"boundary":[13],"surrounding":[15],"tissues":[16],"blurred":[18],"brain":[20],"MRI":[21,59,110],"images,":[22],"so":[23],"the":[24,54,63,69,94,107,113,118],"traditional":[25],"segmentation":[26,31,78,105,125],"method":[27],"cannot":[28],"achieve":[29,103],"ideal":[30],"effect.":[32],"In":[33],"this":[34],"paper,":[35],"an":[36],"improved":[37],"deep":[38],"convolution":[39],"network":[40],"model":[41],"for":[42],"biomedical":[43],"imaging":[44],"(3CN-net)":[45],"proposed,":[47],"which":[48,82],"can":[49,83],"make":[50,62,84],"full":[51,85],"use":[52,86],"of":[53,58,87,90,99,106,121],"3d":[55,76],"spatial":[56],"information":[57],"image":[60,100],"itself,":[61],"feature":[64],"expression":[65],"accurate,":[66],"reduce":[68],"neuron":[70],"parameter":[71],"calculation":[73],"amount;":[74],"An":[75],"algorithm":[79,114],"established,":[81],"different":[88],"levels":[89],"semantic":[91],"information,":[92],"improve":[93],"automatic":[95],"accurate":[97],"extraction":[98],"features,":[101],"high-precision":[104],"images;":[111],"Finally,":[112],"compared":[116],"experimental":[119],"results":[120],"several":[122],"existing":[123],"optimal":[124],"methods.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}