{"id":"https://openalex.org/W2122907123","doi":"https://doi.org/10.1109/icpr.2002.1044872","title":"Contour features for colposcopic image classification by artificial neural networks","display_name":"Contour features for colposcopic image classification by artificial neural networks","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2122907123","doi":"https://doi.org/10.1109/icpr.2002.1044872","mag":"2122907123"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5038742493","display_name":"I. Claude","orcid":null},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"I. Claude","raw_affiliation_strings":["Universit\u00e9 de Technologie de Compiegne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020420660","display_name":"Renaud Winzenrieth","orcid":"https://orcid.org/0000-0002-2755-6063"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Winzenrieth","raw_affiliation_strings":["Universit\u00e9 de Technologie de Compiegne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005818462","display_name":"Philippe Pouletaut","orcid":"https://orcid.org/0000-0001-9700-040X"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Pouletaut","raw_affiliation_strings":["Universit\u00e9 de Technologie de Compiegne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060809953","display_name":"J.-C. Boulanger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.-C. Boulanger","raw_affiliation_strings":["Centre de gyn\u00e9cologic Obst\u00e9trique dE28099 Amiens, France"],"affiliations":[{"raw_affiliation_string":"Centre de gyn\u00e9cologic Obst\u00e9trique dE28099 Amiens, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038742493"],"corresponding_institution_ids":["https://openalex.org/I102516824"],"apc_list":null,"apc_paid":null,"fwci":4.1124,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94140446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"771","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9165999889373779,"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":0.9165999889373779,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9132999777793884,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7721594572067261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6679487228393555},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6412709951400757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633231520652771},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5747197270393372},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5660808086395264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5073093771934509},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.48432743549346924},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4206223785877228}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7721594572067261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6679487228393555},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6412709951400757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633231520652771},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5747197270393372},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5660808086395264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5073093771934509},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.48432743549346924},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4206223785877228},{"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:10.1109/icpr.2002.1044872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1513121488","https://openalex.org/W1994921516","https://openalex.org/W1998234672","https://openalex.org/W2038232770","https://openalex.org/W2098900497","https://openalex.org/W2149788102","https://openalex.org/W2163690610","https://openalex.org/W2405607775","https://openalex.org/W2883779626","https://openalex.org/W6674866458"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W2128914210","https://openalex.org/W2083612662","https://openalex.org/W163453029","https://openalex.org/W2013077238","https://openalex.org/W2361795288","https://openalex.org/W2159463658"],"abstract_inverted_index":{"Presents":[0],"colposcopic":[1],"image":[2,28,110],"classification":[3],"based":[4,66,80],"on":[5,67,81],"contour":[6,109],"parameters":[7,41,65,79,104],"used":[8,32],"in":[9,62],"a":[10,37],"comparison":[11],"study":[12,96],"of":[13,39,48,56,70,75,84,94,100,103,107],"different":[14],"artificial":[15],"neural":[16],"networks":[17],"and":[18,77,97],"the":[19,46,54,68,92,98,101,108],"k-nearest":[20],"neighbors":[21],"reference":[22],"method.":[23],"In":[24],"this":[25,95],"study,":[26],"significant":[27],"data":[29],"bases":[30],"are":[31],"(283":[33],"samples)":[34],"from":[35],"which":[36],"set":[38,102,111],"original":[40],"is":[42],"extracted":[43],"to":[44],"characterize":[45],"attribute":[47],"contour.":[49],"More":[50],"precisely,":[51],"we":[52],"quantify":[53],"notion":[55],"sharp":[57],"contours":[58,61],"vs.":[59],"blurred":[60],"computing":[63],"spatial":[64],"number":[69],"small":[71],"regions":[72],"near":[73],"boundaries":[74],"objects":[76],"frequency":[78],"power":[82],"spectrum":[83],"lines":[85],"cutting":[86],"these":[87],"boundaries.":[88],"Experimental":[89],"results":[90],"show":[91],"feasibility":[93],"efficiency":[99],"since":[105],"95.8%":[106],"has":[112],"been":[113],"correctly":[114],"classified.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}