{"id":"https://openalex.org/W2044935392","doi":"https://doi.org/10.1117/12.2081427","title":"Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy","display_name":"Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy","publication_year":2015,"publication_date":"2015-03-17","ids":{"openalex":"https://openalex.org/W2044935392","doi":"https://doi.org/10.1117/12.2081427","mag":"2044935392"},"language":"en","primary_location":{"id":"doi:10.1117/12.2081427","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081427","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.amsterdamumc.nl/ws/files/180190421/Texture-analysis-of-automatic-graph-cuts-segmentations-for-detection-of-lung-cancer-recurrence-after-stereotactic-radiot.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047863717","display_name":"Sarah A. Mattonen","orcid":"https://orcid.org/0000-0002-8172-1074"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sarah A. Mattonen","raw_affiliation_strings":["The Univ. of Western Ontario (Canada)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090288280","display_name":"David A. Palma","orcid":"https://orcid.org/0000-0002-9542-0627"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David A. Palma","raw_affiliation_strings":["London Regional Cancer Program (Canada)","The Univ. of Western Ontario (Canada)"],"affiliations":[{"raw_affiliation_string":"London Regional Cancer Program (Canada)","institution_ids":[]},{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008861959","display_name":"Cornelis J.A. Haasbeek","orcid":"https://orcid.org/0000-0002-7596-1012"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cornelis J. A. Haasbeek","raw_affiliation_strings":["Vrije Univ. Amsterdam Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Vrije Univ. Amsterdam Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077453712","display_name":"Suresh Senan","orcid":"https://orcid.org/0000-0003-3995-2204"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Suresh Senan","raw_affiliation_strings":["Vrije Univ. Amsterdam Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Vrije Univ. Amsterdam Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113914224","display_name":"Aaron D. Ward","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aaron D. Ward","raw_affiliation_strings":["The Univ. of Western Ontario (Canada)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047863717"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":1.3507,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80490496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9417","issue":null,"first_page":"941719","last_page":"941719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10862","display_name":"AI in cancer detection","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sabr-volatility-model","display_name":"SABR volatility model","score":0.9531026482582092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6084524989128113},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5646468997001648},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.531152606010437},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.4766336679458618},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.46874764561653137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46548786759376526},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44607922434806824},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4427887201309204},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4361257255077362},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.43289434909820557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22727316617965698},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1152346134185791}],"concepts":[{"id":"https://openalex.org/C187625094","wikidata":"https://www.wikidata.org/wiki/Q7388452","display_name":"SABR volatility model","level":4,"score":0.9531026482582092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6084524989128113},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5646468997001648},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.531152606010437},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.4766336679458618},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.46874764561653137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46548786759376526},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44607922434806824},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4427887201309204},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4361257255077362},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.43289434909820557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22727316617965698},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1152346134185791},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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},{"id":"https://openalex.org/C85393063","wikidata":"https://www.wikidata.org/wiki/Q596307","display_name":"Stochastic volatility","level":3,"score":0.0},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2081427","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081427","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire_cris_publications/74d6ab6f-477d-4fcf-bd32-0948b8b4337d","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/74d6ab6f-477d-4fcf-bd32-0948b8b4337d","pdf_url":"https://pure.amsterdamumc.nl/ws/files/180190421/Texture-analysis-of-automatic-graph-cuts-segmentations-for-detection-of-lung-cancer-recurrence-after-stereotactic-radiot.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mattonen, S A, Palma, D A, Haasbeek, C J A, Senan, S & Ward, A D 2015, 'Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy', Proceedings of SPIE, vol. 9417, 941719. https://doi.org/10.1117/12.2081427","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:vumc:oai:pure.atira.dk:publications/89ccc79a-577e-4e9c-ad52-60c815f58b96","is_oa":false,"landing_page_url":"https://research.vumc.nl/en/publications/89ccc79a-577e-4e9c-ad52-60c815f58b96","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of SPIE - International Society for Optical Engineering, 9417:941719. SPIE","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.amsterdamumc.nl:openaire_cris_publications/74d6ab6f-477d-4fcf-bd32-0948b8b4337d","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/74d6ab6f-477d-4fcf-bd32-0948b8b4337d","pdf_url":"https://pure.amsterdamumc.nl/ws/files/180190421/Texture-analysis-of-automatic-graph-cuts-segmentations-for-detection-of-lung-cancer-recurrence-after-stereotactic-radiot.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mattonen, S A, Palma, D A, Haasbeek, C J A, Senan, S & Ward, A D 2015, 'Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy', Proceedings of SPIE, vol. 9417, 941719. https://doi.org/10.1117/12.2081427","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.46000000834465027,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2044935392.pdf","grobid_xml":"https://content.openalex.org/works/W2044935392.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1977792423","https://openalex.org/W2019607817","https://openalex.org/W2022280107","https://openalex.org/W2024609932","https://openalex.org/W2092959252","https://openalex.org/W2113137767","https://openalex.org/W2120587770","https://openalex.org/W2127890285","https://openalex.org/W2163211182","https://openalex.org/W6656467029","https://openalex.org/W6681042639"],"related_works":["https://openalex.org/W1930362318","https://openalex.org/W2549182546","https://openalex.org/W4283714926","https://openalex.org/W2171123343","https://openalex.org/W2767930639","https://openalex.org/W2802937241","https://openalex.org/W4221031915","https://openalex.org/W3138556019","https://openalex.org/W3028959428","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Stereotactic":[0],"ablative":[1],"radiotherapy":[2],"(SABR)":[3],"is":[4,39],"a":[5,40,73,212,219],"treatment":[6],"for":[7,47,62,155],"early-stage":[8],"lung":[9,23],"cancer":[10],"with":[11,90,125,237],"local":[12],"control":[13],"rates":[14],"comparable":[15],"to":[16,159,177,192,217,229],"surgery.":[17],"After":[18],"SABR,":[19,170],"benign":[20],"radiation":[21],"induced":[22],"injury":[24],"(RILI)":[25],"results":[26,145],"in":[27,55],"tumour-mimicking":[28],"changes":[29],"on":[30,113,203,211],"computed":[31],"tomography":[32],"(CT)":[33],"imaging.":[34],"Distinguishing":[35],"recurrence":[36,71],"from":[37,239],"RILI":[38,238],"critical":[41],"clinical":[42,107,181],"decision":[43,198,228],"determining":[44],"the":[45,78,91,96,106,122,133,144,178,196,226],"need":[46],"potentially":[48],"life-saving":[49],"salvage":[50,232],"therapies":[51,233],"whose":[52],"high":[53],"risks":[54],"this":[56,156,186,208],"population":[57],"dictate":[58],"their":[59],"use":[60],"only":[61,92],"true":[63],"recurrences.":[64],"Current":[65],"approaches":[66],"do":[67],"not":[68],"reliably":[69],"detect":[70],"within":[72,84],"year":[74],"post-SABR.":[75],"We":[76],"measured":[77],"detection":[79],"accuracy":[80],"of":[81,88,121,128,139,180,183,207],"texture":[82],"features":[83],"automatically":[85],"determined":[86],"regions":[87],"interest,":[89],"operator":[93],"input":[94],"being":[95],"single":[97],"line":[98],"segment":[99],"measuring":[100],"tumour":[101],"diameter,":[102],"normally":[103],"taken":[104,115],"during":[105],"workflow.":[108],"Our":[109],"leave-one-out":[110],"cross":[111],"validation":[112,206],"images":[114],"2\u20135":[116],"months":[117,165,168],"post-SABR":[118],"showed":[119],"robustness":[120],"entropy":[123],"measure,":[124],"classification":[126],"error":[127],"26%":[129],"and":[130,151,161,166,194,234,242],"area":[131],"under":[132],"receiver":[134],"operating":[135],"characteristic":[136],"curve":[137],"(AUC)":[138],"0.77":[140],"using":[141,146],"automatic":[142,209],"segmentation;":[143],"manual":[147],"segmentation":[148],"were":[149],"24%":[150],"0.75,":[152],"respectively.":[153],"AUCs":[154],"feature":[157],"increased":[158],"0.82":[160],"0.93":[162],"at":[163,199],"8\u201314":[164],"14\u201320":[167],"post":[169],"respectively,":[171],"suggesting":[172],"even":[173],"better":[174],"performance":[175],"nearer":[176],"date":[179],"diagnosis":[182,221],"recurrence;":[184],"thus":[185],"system":[187,222],"could":[188],"also":[189],"be":[190],"used":[191],"support":[193,225],"reinforce":[195],"physician\u2019s":[197,227],"that":[200],"time.":[201],"Based":[202],"our":[204],"ongoing":[205],"approach":[210],"larger":[213],"sample,":[214],"we":[215],"aim":[216],"develop":[218],"computer-aided":[220],"which":[223],"will":[224],"apply":[230],"timely":[231],"prevent":[235],"patients":[236],"undergoing":[240],"invasive":[241],"risky":[243],"procedures.":[244]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}