{"id":"https://openalex.org/W2912660340","doi":"https://doi.org/10.1145/3305275.3305278","title":"A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas","display_name":"A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas","publication_year":2018,"publication_date":"2018-12-29","ids":{"openalex":"https://openalex.org/W2912660340","doi":"https://doi.org/10.1145/3305275.3305278","mag":"2912660340"},"language":"en","primary_location":{"id":"doi:10.1145/3305275.3305278","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3305275.3305278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Jia-Jun Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Jun Qiu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051234612","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0003-2387-4766"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743854","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0001-8041-9351"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062224846","display_name":"Bei Hui","orcid":"https://orcid.org/0000-0001-5759-3562"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Hui","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zi-Xing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zi-Xing Huang","raw_affiliation_strings":["Department of Radiology West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102113264","display_name":"Lin Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ji","raw_affiliation_strings":["Department of Radiology West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.993399977684021,"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/contourlet","display_name":"Contourlet","score":0.9423333406448364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6961517930030823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6895071268081665},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5948551297187805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5354680418968201},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4911145865917206},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47301462292671204},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4484189748764038},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.44446539878845215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.396908164024353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3889031410217285},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24392461776733398},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19393378496170044},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.16875389218330383},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.11872068047523499}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9423333406448364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6961517930030823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6895071268081665},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5948551297187805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354680418968201},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4911145865917206},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47301462292671204},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4484189748764038},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.44446539878845215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.396908164024353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3889031410217285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24392461776733398},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19393378496170044},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.16875389218330383},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.11872068047523499},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3305275.3305278","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3305275.3305278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W783453938","https://openalex.org/W1971453924","https://openalex.org/W2004023255","https://openalex.org/W2099471712","https://openalex.org/W2102201886","https://openalex.org/W2117853853","https://openalex.org/W2119821739","https://openalex.org/W2144932102","https://openalex.org/W2149072817","https://openalex.org/W2170590026","https://openalex.org/W2174661749","https://openalex.org/W2206242981","https://openalex.org/W2692620580","https://openalex.org/W2742022533","https://openalex.org/W2750023899","https://openalex.org/W2962755847","https://openalex.org/W3005363104","https://openalex.org/W3011284156","https://openalex.org/W4210976084"],"related_works":["https://openalex.org/W1973473859","https://openalex.org/W2039333314","https://openalex.org/W2356416985","https://openalex.org/W2358940597","https://openalex.org/W1989187133","https://openalex.org/W2362680912","https://openalex.org/W2361105225","https://openalex.org/W2473079406","https://openalex.org/W2380782746","https://openalex.org/W2003244095"],"abstract_inverted_index":{"Purpose:":[0],"To":[1],"explore":[2],"the":[3,16,41,81,93,102,106,110,118,139,154,164,168,173,178,183,192,219],"value":[4],"of":[5,19,44,46,57,105,117,206,221],"a":[6,29,75,87,225],"texture":[7,30,123,193],"analysis":[8,31,124,194],"method":[9,32,55,162,195],"based":[10,33,196],"on":[11,34,101,197,229],"statistical":[12,35,115,198],"contourlet":[13,36,199],"coefficient":[14,37,103,200],"in":[15,49,71,80,92],"computer-aided":[17,204],"diagnosis":[18,205],"pancreatic":[20,207],"cancer":[21,208],"and":[22,86,108,112,144,149,153,209,223],"normal":[23,210],"pancreas.":[24],"Methods:":[25],"This":[26],"paper":[27],"proposed":[28,161],"(SCC)":[38],"to":[39],"extract":[40],"quantitative":[42],"features":[43,116],"regions":[45],"interest":[47],"(ROIs)":[48],"non-enhanced":[50,213],"CT":[51,214],"images.":[52,215],"The":[53,160],"SCC":[54],"consisted":[56],"two":[58],"steps.":[59],"First,":[60],"it":[61,98],"decompose":[62],"an":[63],"ROI":[64],"into":[65],"several":[66],"subbands":[67,107],"at":[68],"multiple":[69,72],"directions":[70],"layers,":[73],"where":[74],"\"9-7\"":[76],"filter":[77,89],"was":[78,90,171,176,181,186],"applied":[79,91],"Laplacian":[82],"pyramid":[83],"filtering":[84,95],"stage":[85],"\"pkva\"":[88],"directional":[94],"stage.":[96],"Then,":[97],"performed":[99],"normalization":[100],"matrices":[104],"extracted":[109],"first":[111],"second":[113],"order":[114],"normalized":[119],"matrices.":[120],"Six":[121],"traditional":[122],"methods":[125],"that":[126,191],"are":[127],"widely":[128],"used":[129,135],"for":[130,136,203],"medical":[131],"image":[132],"processing":[133],"were":[134,151,157],"comparisons.":[137],"After":[138],"feature":[140,142],"extraction,":[141],"selection":[143],"classification":[145,155,166],"(10-fold":[146],"cross":[147],"training":[148],"test)":[150],"performed,":[152],"results":[156],"evaluated.":[158],"Results:":[159],"achieved":[163],"best":[165],"result:":[167],"average":[169,174,179,184],"accuracy":[170],"79.52%;":[172],"sensitivity":[175],"78.5%;":[177],"specificity":[180],"80.63%;":[182],"AUC":[185],"0.848.":[187],"Conclusions:":[188],"It":[189,216],"indicates":[190],"is":[201],"rewarding":[202],"pancreas":[211],"using":[212],"can":[217],"reduce":[218],"workload":[220],"radiologists":[222],"play":[224],"significant":[226],"guiding":[227],"effect":[228],"junior":[230],"radiologists.":[231]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}