{"id":"https://openalex.org/W4392879230","doi":"https://doi.org/10.1007/s10796-024-10485-y","title":"Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images","display_name":"Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images","publication_year":2024,"publication_date":"2024-03-16","ids":{"openalex":"https://openalex.org/W4392879230","doi":"https://doi.org/10.1007/s10796-024-10485-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10796-024-10485-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10796-024-10485-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10796-024-10485-y.pdf","source":{"id":"https://openalex.org/S181659395","display_name":"Information Systems Frontiers","issn_l":"1387-3326","issn":["1387-3326","1572-9419"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Information Systems Frontiers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10796-024-10485-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100345087","display_name":"Zhuo Chen","orcid":"https://orcid.org/0000-0002-7455-5602"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China","Wuerzburg Dynamics Inc., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]},{"raw_affiliation_string":"Wuerzburg Dynamics Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085735639","display_name":"Chuda Xiao","orcid":"https://orcid.org/0000-0001-5100-1722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuda Xiao","raw_affiliation_strings":["Wuerzburg Dynamics Inc., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuerzburg Dynamics Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356047","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-9846-7359"},"institutions":[{"id":"https://openalex.org/I4210098361","display_name":"First Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00z0j0d77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098361"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019879524","display_name":"Haseeb Hassan","orcid":"https://orcid.org/0000-0002-8158-2502"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haseeb Hassan","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380679","display_name":"Dan Li","orcid":"https://orcid.org/0000-0001-8554-7352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["Wuerzburg Dynamics Inc., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuerzburg Dynamics Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361693","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0001-8341-5874"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Wuerzburg Dynamics Inc., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuerzburg Dynamics Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358563","display_name":"Haoyu Li","orcid":"https://orcid.org/0000-0001-9056-291X"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Li","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036392701","display_name":"Weiguo Xie","orcid":"https://orcid.org/0000-0002-8351-8934"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiguo Xie","raw_affiliation_strings":["Wuerzburg Dynamics Inc., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuerzburg Dynamics Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103656520","display_name":"Wen Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098361","display_name":"First Affiliated Hospital of Guangzhou Medical University","ror":"https://ror.org/00z0j0d77","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098361"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Zhong","raw_affiliation_strings":["Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I92039509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015878061","display_name":"Bingding Huang","orcid":"https://orcid.org/0000-0002-4748-2882"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingding Huang","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4748-2882","affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5015878061","https://openalex.org/A5103656520"],"corresponding_institution_ids":["https://openalex.org/I4210098361","https://openalex.org/I4210152380","https://openalex.org/I92039509"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":1.9604,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86845919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"97","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9786999821662903,"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":0.9786999821662903,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9742000102996826,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.967199981212616,"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/contrast","display_name":"Contrast (vision)","score":0.8573011755943298},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.6131175756454468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4680449962615967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43411922454833984},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.42547979950904846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3405567407608032},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.26317793130874634},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22008797526359558}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8573011755943298},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6131175756454468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4680449962615967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43411922454833984},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.42547979950904846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3405567407608032},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.26317793130874634},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22008797526359558}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10796-024-10485-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10796-024-10485-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10796-024-10485-y.pdf","source":{"id":"https://openalex.org/S181659395","display_name":"Information Systems Frontiers","issn_l":"1387-3326","issn":["1387-3326","1572-9419"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Information Systems Frontiers","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:infosf:v:27:y:2025:i:1:d:10.1007_s10796-024-10485-y","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10796-024-10485-y","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10796-024-10485-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10796-024-10485-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10796-024-10485-y.pdf","source":{"id":"https://openalex.org/S181659395","display_name":"Information Systems Frontiers","issn_l":"1387-3326","issn":["1387-3326","1572-9419"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Information Systems Frontiers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3564418112","display_name":null,"funder_award_id":"2022ZDJS113","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392879230.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W81499379","https://openalex.org/W116922145","https://openalex.org/W124240369","https://openalex.org/W1677182931","https://openalex.org/W1986025060","https://openalex.org/W1994527887","https://openalex.org/W1997224248","https://openalex.org/W2024350228","https://openalex.org/W2031240692","https://openalex.org/W2034432063","https://openalex.org/W2046622279","https://openalex.org/W2049516470","https://openalex.org/W2066239967","https://openalex.org/W2087358436","https://openalex.org/W2171417304","https://openalex.org/W2254762999","https://openalex.org/W2321399172","https://openalex.org/W2327128709","https://openalex.org/W2343861259","https://openalex.org/W2464708700","https://openalex.org/W2567662614","https://openalex.org/W2587231132","https://openalex.org/W2598857445","https://openalex.org/W2774320778","https://openalex.org/W2805253207","https://openalex.org/W2964273253","https://openalex.org/W3014974815","https://openalex.org/W3087045454","https://openalex.org/W3112701542","https://openalex.org/W3129451312","https://openalex.org/W3164337408","https://openalex.org/W3170903420","https://openalex.org/W3204405216","https://openalex.org/W4200081051","https://openalex.org/W4205665064","https://openalex.org/W4213148959","https://openalex.org/W4220793704","https://openalex.org/W4221163766","https://openalex.org/W4287010170","https://openalex.org/W4385667794"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Abstract":[0],"Detecting":[1],"and":[2,35,49,71,98,114,136,166,207,211,225,228,254,265],"accurately":[3,50,246],"locating":[4],"kidney":[5,48,54,179,182,253,257],"stones,":[6],"which":[7],"are":[8,75,134],"common":[9],"urological":[10],"conditions,":[11],"can":[12],"be":[13],"challenging":[14],"when":[15],"using":[16],"imaging":[17],"examinations.":[18],"Therefore,":[19],"the":[20,43,47,79,84,89,103,116,126,139,143,150,155,160,168,177,187,198,222,239,248,252,262],"primary":[21],"objective":[22],"of":[23,46,83,125,176,191,202,251],"this":[24],"research":[25,90],"is":[26,110],"to":[27,41,77,96,112],"develop":[28],"an":[29],"ensemble":[30,241],"model":[31,39,242],"that":[32],"integrates":[33],"segmentation":[34,94,132,140],"registration":[36,108,152,156],"techniques.":[37],"This":[38,259],"aims":[40],"visualize":[42],"inner":[44],"structure":[45,250],"identify":[51,97],"any":[52],"underlying":[53],"stones.":[55,258],"To":[56],"achieve":[57],"this,":[58],"three":[59,164],"separate":[60],"datasets,":[61],"namely":[62],"non-contrast":[63],"computed":[64],"tomography":[65],"(CT)":[66],"scans,":[67,70,74],"corticomedullary":[68],"CT":[69,72],"excretory":[73],"annotated":[76,104],"enhance":[78],"three-dimensional":[80],"(3D)":[81],"reconstruction":[82],"kidney\u2019s":[85,127],"complex":[86],"anatomy.":[87],"Initially,":[88],"focuses":[91],"on":[92],"utilizing":[93],"models":[95],"annotate":[99],"specific":[100],"classes":[101],"within":[102],"datasets.":[105],"Subsequently,":[106],"a":[107,121,172],"algorithm":[109],"employed":[111,135],"align":[113],"combine":[115],"segmented":[117,169],"results,":[118],"resulting":[119],"in":[120,234,245,268],"comprehensive":[122],"3D":[123,174,212,229],"representation":[124],"anatomical":[128],"structure.":[129,180],"Three":[130],"cutting-edge":[131],"algorithms":[133],"evaluated":[137],"during":[138],"phase,":[141],"with":[142,217],"most":[144],"accurate":[145],"segments":[146],"being":[147],"selected":[148],"for":[149,193],"subsequent":[151],"process.":[153],"Ultimately,":[154],"process":[157,264],"successfully":[158],"aligns":[159],"kidneys":[161],"across":[162],"all":[163],"phases":[165],"combines":[167],"labels,":[170],"producing":[171],"detailed":[173],"visualization":[175],"complete":[178],"For":[181],"segmentation,":[183,195,209],"Swin":[184],"UNETR":[185],"exhibited":[186],"highest":[188,199],"Dice":[189,200,219,235],"score":[190,201],"95.21%;":[192],"stone":[194],"ResU-Net":[196,210,227],"achieved":[197],"87.69%.":[203],"Regarding":[204],"Artery,":[205],"Cortex,":[206],"Medulla":[208],"U-Net":[213,230],"show":[214],"comparable":[215],"performance":[216,233],"similar":[218,232],"scores.":[220,236],"Considering":[221],"Collecting":[223],"System":[224],"Parenchyma,":[226],"demonstrate":[231],"In":[237],"conclusion,":[238],"proposed":[240],"shows":[243],"potential":[244],"visualizing":[247],"internal":[249],"precisely":[255],"localizing":[256],"advancement":[260],"improves":[261],"diagnosis":[263],"preoperative":[266],"planning":[267],"percutaneous":[269],"nephrolithotomy.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
