{"id":"https://openalex.org/W2012350520","doi":"https://doi.org/10.1117/12.2082415","title":"Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall","display_name":"Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W2012350520","doi":"https://doi.org/10.1117/12.2082415","mag":"2012350520"},"language":"en","primary_location":{"id":"doi:10.1117/12.2082415","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082415","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066990241","display_name":"Hao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Han","raw_affiliation_strings":["Stony Brook Univ. (United States)","Stony Brook University, United States;"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University, United States;","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711454","display_name":"Lihong Li","orcid":"https://orcid.org/0000-0002-5440-8242"},"institutions":[{"id":"https://openalex.org/I142393192","display_name":"College of Staten Island","ror":"https://ror.org/02p179j44","country_code":"US","type":"education","lineage":["https://openalex.org/I142393192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lihong Li","raw_affiliation_strings":["College of Staten Island, CUNY (United States)","College of Staten Island, CUNY, United States"],"affiliations":[{"raw_affiliation_string":"College of Staten Island, CUNY (United States)","institution_ids":["https://openalex.org/I142393192"]},{"raw_affiliation_string":"College of Staten Island, CUNY, United States","institution_ids":["https://openalex.org/I142393192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110304116","display_name":"Chaijie Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I2802444338","display_name":"King Center","ror":"https://ror.org/03nxex423","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802444338"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaijie Duan","raw_affiliation_strings":["Tsinghua Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Tsinghua Univ. (United States)","institution_ids":["https://openalex.org/I2802444338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056718303","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0001-5252-658X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["Stony Brook Univ. (United States)","Stony Brook University, United States;"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University, United States;","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628383","display_name":"Huafeng Wang","orcid":"https://orcid.org/0000-0002-8267-672X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafeng Wang","raw_affiliation_strings":["Beihang Univ. (China)","[Beihang Univ., China]"],"affiliations":[{"raw_affiliation_string":"Beihang Univ. (China)","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[Beihang Univ., China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110322946","display_name":"Zhengrong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengrong Liang","raw_affiliation_strings":["Stony Brook Univ. (United States)","Stony Brook University, United States;"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University, United States;","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066990241"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.46610631,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66285963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9414","issue":null,"first_page":"94141F","last_page":"94141F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.9976000189781189,"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/T10862","display_name":"AI in cancer detection","score":0.9921000003814697,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6478042602539062},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.582046389579773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5767230987548828},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.523524284362793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48888176679611206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39341166615486145}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6478042602539062},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.582046389579773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5767230987548828},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.523524284362793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48888176679611206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39341166615486145},{"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:10.1117/12.2082415","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082415","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1991113069","https://openalex.org/W1993519341","https://openalex.org/W2023377501","https://openalex.org/W2038839211","https://openalex.org/W2072412086","https://openalex.org/W2079652103","https://openalex.org/W2094750040","https://openalex.org/W2105050207","https://openalex.org/W2105868963","https://openalex.org/W2110065373","https://openalex.org/W2111725022","https://openalex.org/W2111967893","https://openalex.org/W2116040950","https://openalex.org/W2147825841","https://openalex.org/W2155345223","https://openalex.org/W2365595422","https://openalex.org/W3211330693","https://openalex.org/W4230348919","https://openalex.org/W6656245172","https://openalex.org/W6676444637"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Further":[0],"improvement":[1],"of":[2,6,24,95,116,130,160,200],"computer-aided":[3],"detection":[4,23,177,207,276],"(CADe)":[5],"colonic":[7],"polyps":[8,26,239],"is":[9,27],"vital":[10],"to":[11,49,61,235,272],"advance":[12],"computed":[13],"tomographic":[14],"colonography":[15],"(CTC)":[16],"toward":[17],"a":[18,58,82,88,127,138,148,168,185,252],"screening":[19],"modality,":[20],"where":[21,91,193],"the":[22,41,75,92,103,113,120,142,152,161,190,201,261,274],"flat":[25,38,69,225,238,280],"especially":[28,68,278],"challenging":[29],"because":[30],"limited":[31],"image":[32,187],"features":[33],"can":[34,98,179,264],"be":[35,99,181,265],"extracted":[36,80],"from":[37,71,189],"polyps,":[39,70],"and":[40,134,155,164,218],"traditional":[42],"geometric":[43],"features-based":[44],"CADe":[45,245,270],"methods":[46],"usually":[47,180],"fail":[48],"detect":[50,63,236],"such":[51],"polyps.":[52,281],"In":[53],"this":[54],"paper,":[55],"we":[56],"present":[57],"novel":[59,231],"pipeline":[60,232,263],"automatically":[62],"initial":[64],"polyp":[65,275],"candidates":[66],"(IPCs),":[67],"CTC":[72,216],"images.":[73],"First,":[74],"colon":[76,96,117,121,172],"wall":[77,97,118,122,143,173],"mucosa":[78],"was":[79,124,145,165,209,233],"via":[81,126],"partial":[83],"volume":[84],"segmentation":[85],"approach":[86,208],"as":[87],"volumetric":[89,104,162],"layer,":[90],"inner":[93,154],"border":[94,115],"obtained":[100],"by":[101,197,243],"shrinking":[102],"layer":[105],"using":[106],"level":[107],"set":[108],"based":[109],"adaptive":[110],"convolution.":[111],"Then":[112],"outer":[114,156],"(or":[119],"serosa)":[123],"segmented":[125,153],"combined":[128],"implementation":[129],"geodesic":[131],"active":[132],"contour":[133],"Mumford-Shah":[135],"functional":[136],"in":[137,184,251],"coarse-to-fine":[139],"manner.":[140],"Finally,":[141],"thickness":[144,202],"estimated":[146],"along":[147],"unique":[149],"path":[150],"between":[151],"borders":[157],"with":[158,214],"consideration":[159],"layers":[163],"mapped":[166],"onto":[167],"patient-specific":[169],"three-dimensional":[170],"(3D)":[171],"model.":[174],"The":[175,204,228],"IPC":[176,206],"results":[178],"better":[182],"visualized":[183],"2D":[186],"flattened":[188],"3D":[191],"model,":[192],"abnormalities":[194],"were":[195,241],"detected":[196],"Z-score":[198],"transformation":[199],"values.":[203],"proposed":[205],"validated":[210],"on":[211],"11":[212],"patients":[213],"22":[215],"scans,":[217],"each":[219],"scan":[220],"has":[221],"at":[222],"least":[223],"one":[224],"poly":[226],"annotation.":[227],"above":[229],"presented":[230,262],"effective":[234],"some":[237],"that":[240,260],"missed":[242],"our":[244],"system":[246,271],"while":[247],"keeping":[248],"false":[249],"detections":[250],"relative":[253],"low":[254],"level.":[255],"This":[256],"preliminary":[257],"study":[258],"indicates":[259],"incorporated":[266],"into":[267],"an":[268],"existing":[269],"enhance":[273],"power,":[277],"for":[279]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
