{"id":"https://openalex.org/W2319854883","doi":"https://doi.org/10.1117/12.2216353","title":"An integrated classifier for computer-aided diagnosis of colorectal polyps based on random forest and location index strategies","display_name":"An integrated classifier for computer-aided diagnosis of colorectal polyps based on random forest and location index strategies","publication_year":2016,"publication_date":"2016-03-24","ids":{"openalex":"https://openalex.org/W2319854883","doi":"https://doi.org/10.1117/12.2216353","mag":"2319854883"},"language":"en","primary_location":{"id":"doi:10.1117/12.2216353","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216353","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/A5100708726","display_name":"Yifan Hu","orcid":"https://orcid.org/0000-0003-2017-924X"},"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":"Yifan Hu","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","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":false,"raw_author_name":"Hao Han","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057328085","display_name":"Wei Zhu","orcid":"https://orcid.org/0000-0003-3218-8573"},"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":"Wei Zhu","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (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 (United States)"],"affiliations":[{"raw_affiliation_string":"College of Staten Island (United States)","institution_ids":["https://openalex.org/I142393192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079022788","display_name":"Perry J. Pickhardt","orcid":"https://orcid.org/0000-0002-5534-8202"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Perry J. Pickhardt","raw_affiliation_strings":["Univ. of Wisconsin-Madison (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Wisconsin-Madison (United States)","institution_ids":["https://openalex.org/I135310074"]}]},{"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)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100708726"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77266355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9785","issue":null,"first_page":"97851L","last_page":"97851L"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9843000173568726,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9843000173568726,"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"}},{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9836999773979187,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9599000215530396,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8563871383666992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7413294315338135},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7379437685012817},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6819146275520325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.655177652835846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6329867839813232},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.6327080130577087},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5858767032623291},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5857723951339722},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42843422293663025},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41756510734558105},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4165356457233429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2550710439682007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10890376567840576}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8563871383666992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7413294315338135},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7379437685012817},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6819146275520325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.655177652835846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6329867839813232},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.6327080130577087},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5858767032623291},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5857723951339722},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42843422293663025},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41756510734558105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4165356457233429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2550710439682007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10890376567840576},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2216353","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216353","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":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1562197307","https://openalex.org/W1848438463","https://openalex.org/W1967186380","https://openalex.org/W1981444270","https://openalex.org/W1983797060","https://openalex.org/W2044465660","https://openalex.org/W2097998348","https://openalex.org/W2121772402","https://openalex.org/W2122111042","https://openalex.org/W2128988020","https://openalex.org/W2147821156","https://openalex.org/W2154240563","https://openalex.org/W2158698691","https://openalex.org/W2328115678","https://openalex.org/W2911964244","https://openalex.org/W3105578466","https://openalex.org/W6603886096","https://openalex.org/W6646241077","https://openalex.org/W6674385629"],"related_works":["https://openalex.org/W2034680797","https://openalex.org/W4207040723","https://openalex.org/W2967426019","https://openalex.org/W2990537558","https://openalex.org/W3210752578","https://openalex.org/W2621610018","https://openalex.org/W4292794283","https://openalex.org/W4372055028","https://openalex.org/W1975547468","https://openalex.org/W2158177428"],"abstract_inverted_index":{"Feature":[0],"classification":[1,68],"plays":[2],"an":[3,90],"important":[4],"role":[5,65],"in":[6,66,72],"differentiation":[7],"or":[8,100],"computer-aided":[9],"diagnosis":[10],"(CADx)":[11],"of":[12,103,109,121,124,142],"suspicious":[13],"lesions.":[14],"As":[15],"a":[16,28,63,84,122],"widely":[17],"used":[18],"ensemble":[19],"learning":[20],"algorithm":[21,91],"for":[22,31,69,98],"classification,":[23],"random":[24],"forest":[25],"(RF)":[26],"has":[27,36,61],"distinguished":[29,64],"performance":[30],"CADx.":[32,70],"Our":[33],"recent":[34],"study":[35],"shown":[37],"that":[38,79],"the":[39,47,67,77,80,94,107,119,139,151,158],"location":[40],"index":[41],"(LI),":[42],"which":[43],"is":[44],"derived":[45],"from":[46],"well-known":[48],"kNN":[49],"(<i>k</i>":[50],"nearest":[51,57],"neighbor)":[52,58],"and":[53,132,144],"wkNN":[54],"(weighted":[55],"k":[56],"classifier":[59,154],"[1],":[60],"also":[62],"Therefore,":[71],"this":[73],"paper,":[74],"based":[75],"on":[76],"property":[78],"LI":[81,95],"will":[82],"achieve":[83],"very":[85],"high":[86],"accuracy,":[87],"we":[88],"design":[89],"to":[92,138],"integrate":[93],"into":[96],"RF":[97,143],"improved":[99],"higher":[101],"value":[102],"AUC":[104,159],"(area":[105],"under":[106],"curve":[108],"receiver":[110],"operating":[111],"characteristics":[112],"--":[113],"ROC).":[114],"Experiments":[115],"were":[116],"performed":[117],"by":[118,150,157],"use":[120],"database":[123],"153":[125],"lesions":[126,131],"(polyps),":[127],"including":[128],"116":[129],"neoplastic":[130],"37":[133],"hyperplastic":[134],"lesions,":[135],"with":[136],"comparison":[137],"existing":[140],"classifiers":[141],"wkNN,":[145],"respectively.":[146],"A":[147],"noticeable":[148],"gain":[149],"proposed":[152],"integrated":[153],"was":[155],"quantified":[156],"measure.":[160]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}