{"id":"https://openalex.org/W3093072128","doi":"https://doi.org/10.3390/s20205879","title":"A Shape Approximation for Medical Imaging Data","display_name":"A Shape Approximation for Medical Imaging Data","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3093072128","doi":"https://doi.org/10.3390/s20205879","mag":"3093072128","pmid":"https://pubmed.ncbi.nlm.nih.gov/33080848"},"language":"en","primary_location":{"id":"doi:10.3390/s20205879","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20205879","pdf_url":"https://www.mdpi.com/1424-8220/20/20/5879/pdf?version=1603551971","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/20/5879/pdf?version=1603551971","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034651592","display_name":"Shih\u2010Feng Huang","orcid":"https://orcid.org/0000-0001-6971-2151"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shih-Feng Huang","raw_affiliation_strings":["Department of Applied Mathematics, National University of Kaohsiung, Kaohsiung 811, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-6971-2151","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, National University of Kaohsiung, Kaohsiung 811, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088914914","display_name":"Yung-Hsuan Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Hsuan Wen","raw_affiliation_strings":["Institute of Statistics, National University of Kaohsiung, Kaohsiung 811, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics, National University of Kaohsiung, Kaohsiung 811, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073414474","display_name":"Chi\u2010Hsiang Chu","orcid":"https://orcid.org/0000-0002-7883-377X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Hsiang Chu","raw_affiliation_strings":["Department of Statistics, National Cheng Kung University, Tainan 701, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-7883-377X","affiliations":[{"raw_affiliation_string":"Department of Statistics, National Cheng Kung University, Tainan 701, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055729433","display_name":"Chien\u2010Chin Hsu","orcid":"https://orcid.org/0000-0003-1005-2878"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]},{"id":"https://openalex.org/I4210093821","display_name":"Kaohsiung Chang Gung Memorial Hospital","ror":"https://ror.org/00k194y12","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210093821"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Chin Hsu","raw_affiliation_strings":["Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan","institution_ids":["https://openalex.org/I4210093821","https://openalex.org/I173093425"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034651592"],"corresponding_institution_ids":["https://openalex.org/I192168892"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3505,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65417057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"20","issue":"20","first_page":"5879","last_page":"5879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9509000182151794,"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/T12610","display_name":"RNA regulation and disease","score":0.9246000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.7868417501449585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5924646854400635},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5714641809463501},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5255706906318665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5106940865516663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44068434834480286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4358682334423065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3900739550590515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36966878175735474},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16262206435203552}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.7868417501449585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5924646854400635},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5714641809463501},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5255706906318665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5106940865516663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44068434834480286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4358682334423065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3900739550590515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36966878175735474},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16262206435203552},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013624","descriptor_name":"Taiwan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013624","descriptor_name":"Taiwan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013624","descriptor_name":"Taiwan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20205879","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20205879","pdf_url":"https://www.mdpi.com/1424-8220/20/20/5879/pdf?version=1603551971","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33080848","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33080848","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:aaadbd664ef7422a81b4eda0d7eb1fe2","is_oa":true,"landing_page_url":"https://doaj.org/article/aaadbd664ef7422a81b4eda0d7eb1fe2","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":"Sensors, Vol 20, Iss 20, p 5879 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/20/5879/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20205879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 20; Issue 20; Pages: 5879","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7588975","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7588975","pdf_url":null,"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20205879","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20205879","pdf_url":"https://www.mdpi.com/1424-8220/20/20/5879/pdf?version=1603551971","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G737106015","display_name":null,"funder_award_id":"MOST 108-","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8299293907","display_name":null,"funder_award_id":"MOST 108-2118-M-390-003-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093072128.pdf","grobid_xml":"https://content.openalex.org/works/W3093072128.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W148552177","https://openalex.org/W161300214","https://openalex.org/W1997169200","https://openalex.org/W2019880120","https://openalex.org/W2072360513","https://openalex.org/W2130938974","https://openalex.org/W2131012824","https://openalex.org/W2138322536","https://openalex.org/W2142375107","https://openalex.org/W2152728004","https://openalex.org/W2294865793","https://openalex.org/W2295598076","https://openalex.org/W2319585903","https://openalex.org/W2322440910","https://openalex.org/W2338355707","https://openalex.org/W2472575086","https://openalex.org/W2543580944","https://openalex.org/W2567599812","https://openalex.org/W2610216665","https://openalex.org/W2618900009","https://openalex.org/W2770811760","https://openalex.org/W2778473818","https://openalex.org/W2782740085","https://openalex.org/W2883293408","https://openalex.org/W2921691260","https://openalex.org/W2922167346","https://openalex.org/W2937876673","https://openalex.org/W2943448780","https://openalex.org/W2956863190","https://openalex.org/W2962807382","https://openalex.org/W2987002293","https://openalex.org/W2996584493","https://openalex.org/W3102476541","https://openalex.org/W4211123396","https://openalex.org/W4254772338","https://openalex.org/W4285719527","https://openalex.org/W6606598313"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2354618530","https://openalex.org/W2081226903","https://openalex.org/W2363452175","https://openalex.org/W2375225935","https://openalex.org/W2542179972","https://openalex.org/W2131998656"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,258],"shape":[4,52],"approximation":[5,25],"approach":[6],"to":[7,21,92,112,127,164,188],"portray":[8],"the":[9,30,39,48,63,94,105,113,146,160,190,227,230,252,271],"regions":[10],"of":[11,32,38,51,56,69,79,116,145,156,179,193,201,229,251,273],"interest":[12],"(ROI)":[13],"from":[14,83,247],"medical":[15,262],"imaging":[16,263],"data.":[17],"An":[18],"effective":[19],"algorithm":[20,41],"achieve":[22],"an":[23,76],"optimal":[24,99],"is":[26,42,90,186],"proposed":[27,40,95],"based":[28,61],"on":[29,47,62],"framework":[31],"Particle":[33],"Swarm":[34],"Optimization.":[35],"The":[36,54,143,203],"convergence":[37],"derived":[43],"under":[44,168],"mild":[45],"assumptions":[46],"selected":[49],"family":[50],"equations.":[53,234],"issue":[55],"detecting":[57],"Parkinson's":[58],"disease":[59],"(PD)":[60],"Tc-99m":[64],"TRODAT-1":[65],"brain":[66],"SPECT/CT":[67],"images":[68],"634":[70],"subjects,":[71],"with":[72,152,176],"305":[73],"female":[74],"and":[75,101,107,138,148,182,198,218,232,241,254],"average":[77],"age":[78],"68.3":[80],"years":[81],"old":[82],"Kaohsiung":[84],"Chang":[85],"Gung":[86],"Memorial":[87],"Hospital,":[88],"Taiwan,":[89],"employed":[91,163],"demonstrate":[93],"procedure":[96],"by":[97],"fitting":[98],"ellipse":[100,147,231],"cashew-shaped":[102,149,233],"equations":[103],"in":[104,159,261],"2D":[106,253],"3D":[108,255],"spaces,":[109],"respectively.":[110],"According":[111],"visual":[114],"interpretation":[115],"3":[117],"experienced":[118],"board-certified":[119],"nuclear":[120],"medicine":[121],"physicians,":[122],"256":[123],"subjects":[124,131],"are":[125,132,136,140,162],"determined":[126],"be":[128,245],"abnormal,":[129,134],"77":[130],"potentially":[133],"174":[135],"normal,":[137],"127":[139],"nearly":[141],"normal.":[142],"coefficients":[144,228],"equations,":[150],"together":[151],"some":[153],"well-known":[154],"features":[155,243],"PD":[157,166,275],"existing":[158],"literature,":[161],"learn":[165],"classifiers":[167],"various":[169],"machine":[170,195],"learning":[171,196],"approaches.":[172],"A":[173],"repeated":[174],"hold-out":[175],"100":[177],"rounds":[178],"5-fold":[180],"cross-validation":[181],"stratified":[183],"sampling":[184],"scheme":[185],"adopted":[187],"investigate":[189],"classification":[191,213],"performances":[192],"different":[194,199],"methods":[197],"sets":[200],"features.":[202],"empirical":[204],"results":[205],"reveal":[206],"that":[207,238],"our":[208],"method":[209],"obtains":[210],"0.88":[211,219],"\u00b10.04":[212],"accuracy,":[214],"0.87":[215],"\u00b10.06":[216],"sensitivity,":[217],"\u00b10.08":[220],"specificity":[221],"for":[222,257,269],"test":[223],"data":[224],"when":[225],"including":[226],"Our":[235],"findings":[236],"indicate":[237],"more":[239],"constructive":[240],"useful":[242],"can":[244],"extracted":[246],"proper":[248],"mathematical":[249],"representations":[250],"shapes":[256],"specific":[259],"ROI":[260],"data,":[264],"which":[265],"shows":[266],"their":[267],"potential":[268],"improving":[270],"accuracy":[272],"automated":[274],"identification.":[276]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
