{"id":"https://openalex.org/W2921144047","doi":"https://doi.org/10.1117/12.2513056","title":"A local geometrical metric-based model for polyp classification","display_name":"A local geometrical metric-based model for polyp classification","publication_year":2019,"publication_date":"2019-03-14","ids":{"openalex":"https://openalex.org/W2921144047","doi":"https://doi.org/10.1117/12.2513056","mag":"2921144047"},"language":"en","primary_location":{"id":"doi:10.1117/12.2513056","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2513056","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","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/A5101674874","display_name":"Weiguo Cao","orcid":"https://orcid.org/0000-0002-2321-3207"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"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":"Weiguo Cao","raw_affiliation_strings":["The State Univ. of New York, Stony Brook (United States)"],"affiliations":[{"raw_affiliation_string":"The State Univ. of New York, Stony Brook (United States)","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005714545","display_name":"Marc J. Pomeroy","orcid":"https://orcid.org/0000-0002-3982-1776"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"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":"Marc J. Pomeroy","raw_affiliation_strings":["The State Univ. of New York, Stony Brook (United States)"],"affiliations":[{"raw_affiliation_string":"The State Univ. of New York, Stony Brook (United States)","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]}]},{"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/I1304256225","display_name":"University of Wisconsin System","ror":"https://ror.org/03ydkyb10","country_code":"US","type":"education","lineage":["https://openalex.org/I1304256225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Perry J. Pickhardt","raw_affiliation_strings":["Univ. of Wisconsin Medical School (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Wisconsin Medical School (United States)","institution_ids":["https://openalex.org/I1304256225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075591650","display_name":"Matthew A. Barish","orcid":"https://orcid.org/0000-0002-7521-8878"},"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"]},{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Barish","raw_affiliation_strings":["State Univ. of New York, Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"State Univ. of New York, Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097919686","display_name":"Samuel Stanly","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Stanly III","raw_affiliation_strings":["Washington Univ. in St. Louis (United States)"],"affiliations":[{"raw_affiliation_string":"Washington Univ. in St. Louis (United States)","institution_ids":["https://openalex.org/I204465549"]}]},{"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"]},{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengrong Liang","raw_affiliation_strings":["The State Univ. of New York, Stony Brook (United States)"],"affiliations":[{"raw_affiliation_string":"The State Univ. of New York, Stony Brook (United States)","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101674874"],"corresponding_institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71199923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"39","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9842000007629395,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.7422401905059814},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5563939213752747},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.5263494253158569},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5229421854019165},{"id":"https://openalex.org/keywords/polar-coordinate-system","display_name":"Polar coordinate system","score":0.5117595195770264},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.46130162477493286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4567564129829407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4277305006980896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41869017481803894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3657982349395752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3251412510871887},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21890899538993835},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14935609698295593},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14924633502960205}],"concepts":[{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.7422401905059814},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5563939213752747},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.5263494253158569},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5229421854019165},{"id":"https://openalex.org/C40069579","wikidata":"https://www.wikidata.org/wiki/Q62494","display_name":"Polar coordinate system","level":2,"score":0.5117595195770264},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.46130162477493286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4567564129829407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4277305006980896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41869017481803894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3657982349395752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3251412510871887},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21890899538993835},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14935609698295593},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14924633502960205},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2513056","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2513056","pdf_url":null,"source":{"id":"https://openalex.org/S4306519510","display_name":"Medical Imaging 2019: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W596558207","https://openalex.org/W1907292960","https://openalex.org/W2018247165","https://openalex.org/W2028551759","https://openalex.org/W2029046634","https://openalex.org/W2030041075","https://openalex.org/W2044465660","https://openalex.org/W2107327240","https://openalex.org/W2134672608","https://openalex.org/W2345136208","https://openalex.org/W2551060856","https://openalex.org/W2911964244","https://openalex.org/W4285719527","https://openalex.org/W6729715443"],"related_works":["https://openalex.org/W49546004","https://openalex.org/W4247060643","https://openalex.org/W2043109673","https://openalex.org/W2362929369","https://openalex.org/W4378530320","https://openalex.org/W2161804380","https://openalex.org/W2970011562","https://openalex.org/W4205581374","https://openalex.org/W2387889211","https://openalex.org/W893388528"],"abstract_inverted_index":{"Inspired":[0],"by":[1,112,173],"the":[2,38,43,46,77,100,140,166,183,199],"co-occurrence":[3],"matrix":[4],"(CM)":[5],"model":[6,57,61,67,82,156],"for":[7,87,93,128,202],"texture":[8],"description,":[9],"we":[10,50],"introduce":[11],"another":[12],"important":[13],"local":[14,151],"metric,":[15],"gradient":[16,64,145,153],"direction,":[17],"into":[18],"polyp":[19,203],"descriptor":[20],"construction.":[21],"Gradient":[22],"direction":[23,65],"and":[24,31,63,90,98,150,187,194],"its":[25],"two":[26],"independent":[27],"components,":[28],"azimuth":[29,55],"angle":[30,113,129],"polar":[32,59],"angle,":[33],"are":[34,110,122],"used":[35],"instead":[36],"of":[37,45],"gray-level":[39,79],"intensity":[40],"to":[41,124],"calculate":[42],"CMs":[44],"Haralick":[47],"model.":[48],"Thus":[49],"obtain":[51],"three":[52,70,108,134,163,168],"new":[53,71],"models:":[54],"CM":[56,60,66,80,147,155],"(ACM),":[58],"(PCM)":[62],"(GDCM).":[68],"These":[69,107],"models":[72,109,135,164],"share":[73],"similar":[74],"parameters":[75,127],"with":[76,139],"traditional":[78,141],"(GLCM)":[81],"which":[83],"has":[84],"13":[85],"directions":[86,92],"volumetric":[88],"data":[89],"4":[91],"image":[94],"slices.":[95],"To":[96],"train":[97],"test":[99],"data,":[101],"random":[102],"forest":[103],"method":[104],"is":[105],"employed.":[106],"affected":[111],"quantization":[114],"and,":[115],"therefore,":[116],"more":[117],"than":[118],"10":[119],"experimental":[120],"schemes":[121],"designed":[123],"get":[125],"reasonable":[126],"discretization.":[130],"We":[131],"compared":[132],"our":[133,162],"(ACM,":[136],"PCM,":[137],"GDCM)":[138],"GLCM":[142],"model,":[143,149],"a":[144],"magnitude":[146],"(GMCM)":[148],"anisotropic":[152],"orientations":[154],"(CoLIAge).":[157],"Experimental":[158],"results":[159],"showed":[160],"that":[161],"exceed":[165],"other":[167],"methods":[169],"(GLCM,":[170],"GMCM,":[171],"CoLIAge)":[172],"their":[174,192],"receiver":[175],"operating":[176],"characteristic":[177],"(ROC)":[178],"curves,":[179],"AUC":[180,193],"(area":[181],"under":[182],"ROC":[184],"curve)":[185],"scores":[186],"accuracy":[188],"values.":[189],"Based":[190],"on":[191],"accuracy,":[195],"ACM":[196],"should":[197],"be":[198],"first":[200],"choice":[201],"classification.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}