{"id":"https://openalex.org/W2588610703","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852750","title":"A classification method of epithelial cells and clue cells based on multi-scale texture analysis","display_name":"A classification method of epithelial cells and clue cells based on multi-scale texture analysis","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588610703","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852750","mag":"2588610703"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5049831260","display_name":"Yukun Guo","orcid":"https://orcid.org/0000-0002-6784-2355"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukun Guo","raw_affiliation_strings":["Shandong University, Jinan, Shandong, CN"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, Shandong, CN","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114626461","display_name":"Xiangru Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangru Yu","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China","Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603460","display_name":"Jinping Li","orcid":"https://orcid.org/0000-0002-2628-0376"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Li","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China","Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049831260"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78614463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"432","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T10057","display_name":"Face and Expression Recognition","score":0.9911999702453613,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7024259567260742},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6680965423583984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6416971683502197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741212368011475},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.549859881401062},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5205991268157959},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5182576179504395},{"id":"https://openalex.org/keywords/stain","display_name":"Stain","score":0.42803213000297546},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42737293243408203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24553102254867554},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13957905769348145},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.1332792043685913}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7024259567260742},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6680965423583984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6416971683502197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741212368011475},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.549859881401062},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5205991268157959},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5182576179504395},{"id":"https://openalex.org/C2781294515","wikidata":"https://www.wikidata.org/wiki/Q2733470","display_name":"Stain","level":3,"score":0.42803213000297546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42737293243408203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24553102254867554},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13957905769348145},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.1332792043685913},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":50,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W139996979","https://openalex.org/W1487718662","https://openalex.org/W1504694836","https://openalex.org/W1512444571","https://openalex.org/W1885000897","https://openalex.org/W1926592634","https://openalex.org/W1988790447","https://openalex.org/W1994514915","https://openalex.org/W2017064407","https://openalex.org/W2031534613","https://openalex.org/W2037901790","https://openalex.org/W2039051707","https://openalex.org/W2046995465","https://openalex.org/W2059432853","https://openalex.org/W2069794937","https://openalex.org/W2097169398","https://openalex.org/W2103496373","https://openalex.org/W2103504761","https://openalex.org/W2104444341","https://openalex.org/W2107167693","https://openalex.org/W2119821739","https://openalex.org/W2124776405","https://openalex.org/W2125055259","https://openalex.org/W2132984323","https://openalex.org/W2138383519","https://openalex.org/W2140785063","https://openalex.org/W2147141800","https://openalex.org/W2149706766","https://openalex.org/W2150666871","https://openalex.org/W2151419026","https://openalex.org/W2154528686","https://openalex.org/W2163352848","https://openalex.org/W2163614729","https://openalex.org/W2215003561","https://openalex.org/W2273176211","https://openalex.org/W2281283198","https://openalex.org/W2286961399","https://openalex.org/W2302241271","https://openalex.org/W2331230206","https://openalex.org/W3022139529","https://openalex.org/W4236137412","https://openalex.org/W4239510810","https://openalex.org/W4248437541","https://openalex.org/W4297944103","https://openalex.org/W6604119173","https://openalex.org/W6630381154","https://openalex.org/W6678449394","https://openalex.org/W6678851513","https://openalex.org/W6683915439"],"related_works":["https://openalex.org/W2362517148","https://openalex.org/W2594860026","https://openalex.org/W2382509367","https://openalex.org/W2090763504","https://openalex.org/W2902762162","https://openalex.org/W2077435114","https://openalex.org/W2148148707","https://openalex.org/W2136025972","https://openalex.org/W1842084514","https://openalex.org/W2050887495"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,127],"is":[3,79,116],"proposed":[4],"for":[5,118],"the":[6,34,45,52,56,74,90,98,112,119,131],"classification":[7,57,132],"of":[8,19,48,58,64,66,70,76,86,100,104],"epithelial":[9],"cells":[10,13,50,78,88,105],"and":[11,31],"clue":[12,77],"in":[14,28,55,106],"wet":[15],"mount":[16],"microscopic":[17],"images":[18],"vaginal":[20],"secretions.":[21],"Generally,":[22],"there":[23],"are":[24],"many":[25],"complicated":[26],"ingredients":[27],"these":[29,49,59,67,101],"images,":[30],"different":[32,107],"from":[33],"gram":[35],"stain":[36],"method,":[37],"no":[38],"color":[39],"information":[40,47],"can":[41,96,128],"be":[42],"used.":[43],"Obviously,":[44],"texture":[46,84,92],"becomes":[51],"main":[53],"feature":[54],"ingredients.":[60],"After":[61,110],"careful":[62],"observation":[63],"difference":[65,99],"two":[68,102],"kinds":[69,103],"cells,":[71],"we":[72,82],"found":[73],"surface":[75],"rougher.":[80],"So,":[81],"extract":[83],"features":[85],"those":[87],"using":[89],"multi-scale":[91],"energy":[93],"descriptor":[94],"which":[95],"reflect":[97],"scales":[108],"effectively.":[109],"that,":[111],"traditional":[113],"SVM":[114],"classifier":[115],"employed":[117],"classification.":[120],"The":[121],"experimental":[122],"results":[123],"show":[124],"that":[125],"our":[126],"effectively":[129],"complete":[130],"task.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"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"}
