{"id":"https://openalex.org/W4210861077","doi":"https://doi.org/10.1145/3492323.3495618","title":"Medical 3D reconstruction based on deep learning for healthcare","display_name":"Medical 3D reconstruction based on deep learning for healthcare","publication_year":2021,"publication_date":"2021-12-06","ids":{"openalex":"https://openalex.org/W4210861077","doi":"https://doi.org/10.1145/3492323.3495618"},"language":"en","primary_location":{"id":"doi:10.1145/3492323.3495618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492323.3495618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion","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/A5041076952","display_name":"Jiaji Wang","orcid":"https://orcid.org/0000-0002-6728-2685"},"institutions":[{"id":"https://openalex.org/I235331625","display_name":"Jiangsu Second Normal University","ror":"https://ror.org/00e6ytg41","country_code":"CN","type":"education","lineage":["https://openalex.org/I235331625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Ji Wang","raw_affiliation_strings":["Jiangsu Second Normal University, Nanjing Jiangsu China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Second Normal University, Nanjing Jiangsu China","institution_ids":["https://openalex.org/I235331625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020156698","display_name":"Shuwen Chen","orcid":"https://orcid.org/0009-0003-0813-9795"},"institutions":[{"id":"https://openalex.org/I235331625","display_name":"Jiangsu Second Normal University","ror":"https://ror.org/00e6ytg41","country_code":"CN","type":"education","lineage":["https://openalex.org/I235331625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Wen Chen","raw_affiliation_strings":["Jiangsu Second Normal University, Nanjing Jiangsu China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Second Normal University, Nanjing Jiangsu China","institution_ids":["https://openalex.org/I235331625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005341367","display_name":"Jiaqi Shao","orcid":"https://orcid.org/0000-0001-7017-352X"},"institutions":[{"id":"https://openalex.org/I235331625","display_name":"Jiangsu Second Normal University","ror":"https://ror.org/00e6ytg41","country_code":"CN","type":"education","lineage":["https://openalex.org/I235331625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Qi Shao","raw_affiliation_strings":["Jiangsu Second Normal University, Nanjing Jiangsu China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Second Normal University, Nanjing Jiangsu China","institution_ids":["https://openalex.org/I235331625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623335","display_name":"Xiaowei Gu","orcid":"https://orcid.org/0000-0001-9116-4761"},"institutions":[{"id":"https://openalex.org/I235331625","display_name":"Jiangsu Second Normal University","ror":"https://ror.org/00e6ytg41","country_code":"CN","type":"education","lineage":["https://openalex.org/I235331625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Wei Gu","raw_affiliation_strings":["Jiangsu Second Normal University, Nanjing Jiangsu China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Second Normal University, Nanjing Jiangsu China","institution_ids":["https://openalex.org/I235331625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063958332","display_name":"Huisheng Zhu","orcid":"https://orcid.org/0000-0002-6362-2937"},"institutions":[{"id":"https://openalex.org/I235331625","display_name":"Jiangsu Second Normal University","ror":"https://ror.org/00e6ytg41","country_code":"CN","type":"education","lineage":["https://openalex.org/I235331625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui-Sheng Zhu","raw_affiliation_strings":["Jiangsu Second Normal University, Nanjing Jiangsu China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Second Normal University, Nanjing Jiangsu China","institution_ids":["https://openalex.org/I235331625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I235331625"],"apc_list":null,"apc_paid":null,"fwci":0.0849,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41795868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9980999827384949,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9977999925613403,"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/deep-learning","display_name":"Deep learning","score":0.7251327037811279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7057834267616272},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6090957522392273},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6067296862602234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5702930092811584},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5339300632476807},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.46094971895217896},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41825294494628906},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36093437671661377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3500049114227295}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7251327037811279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057834267616272},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6090957522392273},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6067296862602234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5702930092811584},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5339300632476807},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.46094971895217896},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41825294494628906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36093437671661377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3500049114227295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3492323.3495618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492323.3495618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2016291052","https://openalex.org/W2038344945","https://openalex.org/W2098765040","https://openalex.org/W2766751498","https://openalex.org/W2899724587","https://openalex.org/W2962850830","https://openalex.org/W2963446712","https://openalex.org/W3043636152","https://openalex.org/W3123194999","https://openalex.org/W3170486654","https://openalex.org/W3173208723","https://openalex.org/W3177390172","https://openalex.org/W3179490952","https://openalex.org/W3180787265","https://openalex.org/W3185155937","https://openalex.org/W3186312340","https://openalex.org/W3191075711","https://openalex.org/W3198817422","https://openalex.org/W3208227361","https://openalex.org/W6738846887"],"related_works":["https://openalex.org/W3109244347","https://openalex.org/W2517246325","https://openalex.org/W2170579734","https://openalex.org/W2397188463","https://openalex.org/W2914011423","https://openalex.org/W3011087369","https://openalex.org/W4210454584","https://openalex.org/W2901697715","https://openalex.org/W2093747323","https://openalex.org/W3196786996"],"abstract_inverted_index":{"Medical":[0],"3D":[1,23,48,85],"reconstruction":[2,49,86],"technology,":[3,10,50],"as":[4],"a":[5,14,32],"branch":[6],"of":[7,38,46,67,83],"computer":[8],"visualization":[9],"is":[11,30],"not":[12],"only":[13],"theoretical":[15],"innovation":[16],"but":[17],"can":[18],"also":[19],"provide":[20],"rich,":[21],"clear":[22],"images":[24],"for":[25,43],"processing":[26],"medical":[27,68,84],"images,":[28],"which":[29,60],"playing":[31],"vital":[33],"role":[34,78],"in":[35],"the":[36,44,56,65,76,80],"diagnosis":[37,70],"disease.":[39],"To":[40],"make":[41],"up":[42],"disadvantages":[45],"traditional":[47,57],"we":[51],"combine":[52],"deep":[53,89],"learning":[54],"with":[55,88],"optimization":[58],"method,":[59],"presents":[61],"great":[62],"potential,":[63],"boosting":[64],"development":[66,82],"image":[69],"technology.":[71],"This":[72],"paper":[73],"focuses":[74],"on":[75],"important":[77],"and":[79],"latest":[81],"technology":[87],"learning.":[90]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}