{"id":"https://openalex.org/W3004019936","doi":"https://doi.org/10.1109/icumt48472.2019.8970894","title":"Pediatric Spine Segmentation and Modeling Using Machine Learning","display_name":"Pediatric Spine Segmentation and Modeling Using Machine Learning","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3004019936","doi":"https://doi.org/10.1109/icumt48472.2019.8970894","mag":"3004019936"},"language":"en","primary_location":{"id":"doi:10.1109/icumt48472.2019.8970894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt48472.2019.8970894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","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/A5058237455","display_name":"Jan Mikulka","orcid":"https://orcid.org/0000-0003-3270-1795"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jan Mikulka","raw_affiliation_strings":["Brno University of Technology,Department of Theoretical and Experimental Electrical Engineering,Brno,Czech Republic","Department of Theoretical and Experimental Electrical Engineering, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Brno University of Technology,Department of Theoretical and Experimental Electrical Engineering,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Department of Theoretical and Experimental Electrical Engineering, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090514908","display_name":"Daniel Chalupa","orcid":"https://orcid.org/0000-0002-7242-0288"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Daniel Chalupa","raw_affiliation_strings":["Brno University of Technology,Department of Theoretical and Experimental Electrical Engineering,Brno,Czech Republic","Department of Theoretical and Experimental Electrical Engineering, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Brno University of Technology,Department of Theoretical and Experimental Electrical Engineering,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Department of Theoretical and Experimental Electrical Engineering, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061350050","display_name":"Kamil \u0158\u00edha","orcid":"https://orcid.org/0000-0002-6196-5215"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Kamil \u0158\u00edha","raw_affiliation_strings":["Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","Department of Telecommunications, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]},{"raw_affiliation_string":"Department of Telecommunications, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034704437","display_name":"Milan Filipovi\u010d","orcid":"https://orcid.org/0000-0001-9976-1472"},"institutions":[{"id":"https://openalex.org/I4210102302","display_name":"University Hospital Brno","ror":"https://ror.org/00qq1fp34","country_code":"CZ","type":"healthcare","lineage":["https://openalex.org/I4210102302"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Milan Filipovi\u010d","raw_affiliation_strings":["The University Hospital Brno,Department of Orthopedic Surgery,Brno,Czech Republic","Department of Orthopedic Surgery, The University Hospital Brno, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"The University Hospital Brno,Department of Orthopedic Surgery,Brno,Czech Republic","institution_ids":["https://openalex.org/I4210102302"]},{"raw_affiliation_string":"Department of Orthopedic Surgery, The University Hospital Brno, Brno, Czech Republic","institution_ids":["https://openalex.org/I4210102302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010039100","display_name":"Marek Dost\u00e1l","orcid":"https://orcid.org/0000-0003-1740-9227"},"institutions":[{"id":"https://openalex.org/I4210102302","display_name":"University Hospital Brno","ror":"https://ror.org/00qq1fp34","country_code":"CZ","type":"healthcare","lineage":["https://openalex.org/I4210102302"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Marek Dost\u00e1l","raw_affiliation_strings":["The University Hospital Brno,Clinic of Radiology and Nuclear Medicine,Brno,Czech Republic","Clinic of Radiology and Nuclear Medicine, The University Hospital Brno, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"The University Hospital Brno,Clinic of Radiology and Nuclear Medicine,Brno,Czech Republic","institution_ids":["https://openalex.org/I4210102302"]},{"raw_affiliation_string":"Clinic of Radiology and Nuclear Medicine, The University Hospital Brno, Brno, Czech Republic","institution_ids":["https://openalex.org/I4210102302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058237455"],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":0.3912,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60371091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9857000112533569,"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/T11030","display_name":"Scoliosis diagnosis and treatment","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/toolbox","display_name":"Toolbox","score":0.6832238435745239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745550036430359},{"id":"https://openalex.org/keywords/scoliosis","display_name":"Scoliosis","score":0.6449845433235168},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6358667612075806},{"id":"https://openalex.org/keywords/spinal-deformity","display_name":"Spinal deformity","score":0.6215280890464783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103836297988892},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5815715789794922},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5637614727020264},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5491332411766052},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5409887433052063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.540205717086792},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5350680351257324},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4915994107723236},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46168699860572815},{"id":"https://openalex.org/keywords/deformity","display_name":"Deformity","score":0.4504649043083191},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.4361923336982727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36227309703826904},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.32014840841293335},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19558373093605042},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.1349809169769287}],"concepts":[{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6832238435745239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745550036430359},{"id":"https://openalex.org/C2780955175","wikidata":"https://www.wikidata.org/wiki/Q174857","display_name":"Scoliosis","level":2,"score":0.6449845433235168},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6358667612075806},{"id":"https://openalex.org/C2992931878","wikidata":"https://www.wikidata.org/wiki/Q7577457","display_name":"Spinal deformity","level":3,"score":0.6215280890464783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103836297988892},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5815715789794922},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5637614727020264},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5491332411766052},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5409887433052063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.540205717086792},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5350680351257324},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4915994107723236},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46168699860572815},{"id":"https://openalex.org/C2779982284","wikidata":"https://www.wikidata.org/wiki/Q1182746","display_name":"Deformity","level":2,"score":0.4504649043083191},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.4361923336982727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36227309703826904},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32014840841293335},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19558373093605042},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.1349809169769287},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icumt48472.2019.8970894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt48472.2019.8970894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.46000000834465027,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W596427627","https://openalex.org/W1930624869","https://openalex.org/W2026616100","https://openalex.org/W2083504715","https://openalex.org/W2108836250","https://openalex.org/W2153635508","https://openalex.org/W2161920802","https://openalex.org/W2549726853","https://openalex.org/W2556247010","https://openalex.org/W2592069135","https://openalex.org/W2901093497","https://openalex.org/W4230040612","https://openalex.org/W4239510810","https://openalex.org/W6640462745","https://openalex.org/W6733991528"],"related_works":["https://openalex.org/W3200088983","https://openalex.org/W4396608514","https://openalex.org/W2243008534","https://openalex.org/W4242042280","https://openalex.org/W2561596083","https://openalex.org/W2184974850","https://openalex.org/W4292253615","https://openalex.org/W2981092562","https://openalex.org/W2990762041","https://openalex.org/W339959573"],"abstract_inverted_index":{"Scoliosis":[0],"embodies":[1],"the":[2,14,17,27,51,81,84,115,121,149,152,155,168,178,182],"most":[3],"frequent":[4],"three-dimensional":[5],"spinal":[6,58],"deformity":[7,28,90],"in":[8,80,208],"children.":[9],"Only":[10],"timely":[11],"treatment":[12,48],"during":[13,86],"growth":[15],"of":[16,43,53,56,64,78,109,114,120,137,141,148,151,154,177],"spine":[18,72,85],"may":[19],"significantly":[20],"reduce":[21],"related":[22],"health":[23],"problems":[24],"inflicted":[25],"by":[26],"on":[29,83,161],"adults.":[30],"The":[31,66,104,133,164],"results":[32,165],"obtained":[33],"via":[34,92],"conservative":[35],"therapy":[36],"are":[37],"problematic,":[38],"and":[39,88,118,128,158],"a":[40,61,71,107,126,139,209],"certain":[41],"degree":[42],"curvature":[44],"already":[45],"requires":[46],"surgical":[47],"that":[49,167],"at":[50],"time":[52],"writing":[54],"consists":[55],"repeated":[57],"surgeries":[59],"posing":[60],"high":[62],"risk":[63],"complications.":[65],"aim":[67],"is":[68,123,135,198],"to":[69,188,191,200],"use":[70],"model":[73],"for":[74,98,175],"computer":[75],"based":[76],"simulation":[77],"changes":[79,203],"stress":[82],"idiopathic":[87],"syndromic":[89],"correction":[91],"vertebral":[93],"osteotomy.":[94],"A":[95],"machine-learning":[96],"toolbox":[97,105],"3D":[99],"Slicer":[100],"has":[101,106],"been":[102],"developed.":[103],"form":[108],"an":[110,146],"application":[111],"extension.":[112],"Preprocessing":[113],"data,":[116],"training":[117,156,169,192,201],"usage":[119],"classifier":[122,162],"possible":[124],"through":[125],"simple":[127],"modern":[129],"graphical":[130],"user":[131],"interface.":[132],"extension":[134],"capable":[136],"performing":[138],"variety":[140],"helpful":[142],"tasks":[143],"such":[144],"as":[145],"analysis":[147],"impact":[150],"size":[153,171],"vector":[157,170,196],"feature":[159,211],"selection":[160],"precision.":[163],"suggest":[166],"can":[172],"be":[173,189],"minimized":[174],"all":[176],"tested":[179],"classifiers.":[180],"Furthermore,":[181],"random":[183],"forest":[184],"classifier's":[185],"performance":[186],"seems":[187],"resistant":[190],"parameter":[193,202],"changes.":[194],"Support":[195],"machine":[197],"sensitive":[199],"with":[204],"optimal":[205],"values":[206],"concentrated":[207],"narrow":[210],"space.":[212]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}