乐胖代购免代理版

{"id":"https://openalex.org/W4362603616","doi":"https://doi.org/10.1117/12.2654492","title":"Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging","display_name":"Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362603616","doi":"https://doi.org/10.1117/12.2654492"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2654492","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5058744346","display_name":"Fereshteh Yousefirizi","orcid":"https://orcid.org/0000-0001-5261-6163"},"institutions":[],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fereshteh Yousefirizi","raw_affiliation_strings":["BC Cancer Research Institute (Canada)"],"affiliations":[{"raw_affiliation_string":"BC Cancer Research Institute (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001762048","display_name":"Joo O.","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160144","display_name":"Seoul St. Mary's Hospital","ror":"https://ror.org/056cn0e37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210160144"]},{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joo O.","raw_affiliation_strings":["Seoul St. Mary's Hospital, The Catholic Univ. of Korea (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"Seoul St. Mary's Hospital, The Catholic Univ. of Korea (Korea, Republic of)","institution_ids":["https://openalex.org/I4210160144","https://openalex.org/I87111246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078819407","display_name":"Ingrid Bloise","orcid":null},"institutions":[],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ingrid Bloise","raw_affiliation_strings":["BC Cancer Research Institute (Canada)"],"affiliations":[{"raw_affiliation_string":"BC Cancer Research Institute (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074313429","display_name":"Amirhosein Toosi","orcid":"https://orcid.org/0000-0001-6432-9428"},"institutions":[],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amirhosein Toosi","raw_affiliation_strings":["BC Cancer Research Institute (Canada)"],"affiliations":[{"raw_affiliation_string":"BC Cancer Research Institute (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077969822","display_name":"Carlos Uribe","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Carlos F. Uribe","raw_affiliation_strings":["BC Cancer Research Institute (Canada)","Univ. of British Columbia (Canada)"],"affiliations":[{"raw_affiliation_string":"BC Cancer Research Institute (Canada)","institution_ids":[]},{"raw_affiliation_string":"Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021438906","display_name":"Arman Rahmim","orcid":"https://orcid.org/0000-0002-9980-2403"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arman Rahmim","raw_affiliation_strings":["BC Cancer Research Institute (Canada)","Univ. of British Columbia (Canada)"],"affiliations":[{"raw_affiliation_string":"BC Cancer Research Institute (Canada)","institution_ids":[]},{"raw_affiliation_string":"Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"133"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9971,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9971,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.997,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9478,"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/dice","display_name":"Dice","score":0.754876},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6751679},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised Learning","score":0.5187881}],"concepts":[{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.754876},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.72368777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71832836},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6751679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61818993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5386799},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5187881},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4781507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36964077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12594214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07730582},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07242501}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2654492","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W2107638293","https://openalex.org/W2120839773","https://openalex.org/W2952952194","https://openalex.org/W3093594532","https://openalex.org/W3137818185","https://openalex.org/W3191554766","https://openalex.org/W3199152014","https://openalex.org/W3217466224","https://openalex.org/W4249662237"],"related_works":["https://openalex.org/W4312414840","https://openalex.org/W2981952041","https://openalex.org/W2621411691","https://openalex.org/W2556866732","https://openalex.org/W2348322200","https://openalex.org/W2328989934","https://openalex.org/W2271357838","https://openalex.org/W1997160662","https://openalex.org/W1586607209","https://openalex.org/W122912556"],"abstract_inverted_index":{"The":[0,109],"need":[1],"for":[2,14,44],"accurate":[3],"and":[4,40,52,64,72],"consistent":[5],"ground":[6],"truth":[7],"hinders":[8],"advances":[9],"in":[10,18,96,105],"supervised":[11,58,135],"learning":[12,46],"approaches":[13,34],"tumor":[15],"segmentation":[16,107],"especially":[17],"PET":[19],"images.":[20],"In":[21],"this":[22],"study,":[23],"we":[24],"revisited":[25],"the":[26,57,86,100,125],"effect":[27],"of":[28,75,102,112,127],"supervision":[29,103],"level":[30,101],"on":[31,36,134],"two":[32],"semi-supervised":[33,115],"based":[35,114,122,129],"Robust":[37],"FCM":[38,50,121],"(RFCM)":[39],"Mumford-Shah":[41],"(MS)":[42],"losses":[43],"unsupervised":[45],"combined":[47],"with":[48,78,93],"labeled":[49],"(LFCM)":[51],"Dice":[53],"loss":[54,59],"respectively":[55],"as":[56],"terms":[60],"((RFCM":[61],"+":[62],"\u03b1LFCM)":[63],"(MS+":[65],"\u03b1Dice)).":[66],"We":[67],"used":[68],"a":[69,91],"multi-center":[70],"(BC":[71],"SM)":[73],"dataset":[74],"lymphoma":[76],"patients":[77],"heterogeneous":[79],"characteristics.":[80],"Our":[81],"results":[82,104],"revealed":[83],"that":[84,123],"when":[85],"test":[87],"data":[88],"are":[89],"from":[90],"center":[92],"low":[94],"contribution":[95],"training":[97,126],"data,":[98],"increasing":[99],"lower":[106],"performance.":[108],"performance":[110],"drop":[111],"MS":[113,128],"approach":[116,130],"was":[117],"higher":[118],"compared":[119],"to":[120],"means":[124],"is":[131],"more":[132],"dependent":[133],"learning.":[136]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4362603616","counts_by_year":[],"updated_date":"2024-12-21T10:17:21.468733","created_date":"2023-04-06"}