{"id":"https://openalex.org/W2914305660","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633122","title":"Classification of Computerized Tomography Images of Endemic Liver Hydatid in Xinjiang Based on Decision Tree","display_name":"Classification of Computerized Tomography Images of Endemic Liver Hydatid in Xinjiang Based on Decision Tree","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2914305660","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633122","mag":"2914305660"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th 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/A5029574199","display_name":"Azmat Rozjan","orcid":null},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Azmat Rozjan","raw_affiliation_strings":["School of Basic Medicine, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"School of Basic Medicine, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046049231","display_name":"Roxangul Arxidin","orcid":null},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Roxangul Arxidin","raw_affiliation_strings":["School of Basic Medicine, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"School of Basic Medicine, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046945628","display_name":"Nadiya Abdukeyim","orcid":null},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nadiya Abdukeyim","raw_affiliation_strings":["School of Basic Medicine, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"School of Basic Medicine, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019326217","display_name":"Chuan Yan","orcid":"https://orcid.org/0000-0002-5564-727X"},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Bo. Yan","raw_affiliation_strings":["College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087498259","display_name":"Abdugheni Kutluk","orcid":null},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abdugheni Kutluk","raw_affiliation_strings":["College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032890416","display_name":"Murat Hamit","orcid":"https://orcid.org/0000-0002-7080-2506"},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Murat Hamit","raw_affiliation_strings":["College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101969078","display_name":"Juan Yao","orcid":"https://orcid.org/0000-0002-8747-2144"},"institutions":[{"id":"https://openalex.org/I154093214","display_name":"Xinjiang Medical University","ror":"https://ror.org/01p455v08","country_code":"CN","type":"education","lineage":["https://openalex.org/I154093214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Yao","raw_affiliation_strings":["Department of Radiology, Xinjiang Medical University, Urumqi, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Xinjiang Medical University, Urumqi, China","institution_ids":["https://openalex.org/I154093214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100431776","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3131-7401"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5029574199"],"corresponding_institution_ids":["https://openalex.org/I154093214"],"apc_list":null,"apc_paid":null,"fwci":0.0919,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49306141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13223","display_name":"Connective Tissue Growth Factor Research","score":0.5756999850273132,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13223","display_name":"Connective Tissue Growth Factor Research","score":0.5756999850273132,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6770902872085571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6355085372924805},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5715090036392212},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.5611499547958374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5516741871833801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5447458028793335},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.538385272026062},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5163930058479309},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.5061096549034119},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44234830141067505},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4111118018627167},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.38200297951698303},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2941698431968689},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.22478434443473816},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12762722373008728}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6770902872085571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6355085372924805},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5715090036392212},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.5611499547958374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5516741871833801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5447458028793335},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.538385272026062},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5163930058479309},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.5061096549034119},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44234830141067505},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4111118018627167},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.38200297951698303},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2941698431968689},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.22478434443473816},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12762722373008728}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W2072843106","https://openalex.org/W2350430350","https://openalex.org/W2623725391"],"abstract_inverted_index":{"Objective:":[0],"to":[1,76,92],"assess":[2],"the":[3,17,23,28,51,94,109,122,163,176],"classification":[4,110,123,133,145,164,177],"capability":[5],"dealing":[6],"with":[7],"CT":[8,18,44,179],"images,":[9],"by":[10,22,56],"means":[11],"of":[12,112,125,135,147,155,165,178],"Decision":[13,67],"Tree":[14],"classifier.":[15],"Methods:":[16],"images":[19,45],"were":[20,46,54,70],"provided":[21],"hospital":[24],"was":[25,117,129,138],"used":[26,71,91],"as":[27],"data":[29],"source.":[30],"In":[31],"this":[32],"study,":[33],"normal":[34,99],"liver,":[35,100],"Single":[36,101],"cystic":[37,102],"hepatic":[38,42,103,107,167],"hydatid":[39,43,104,168],"and":[40,61,87,105,119,131,141],"Polycystic":[41,106],"selected.each":[47],"200":[48],"pieces.":[49],"Then":[50],"texture":[52],"features":[53,137],"extracted":[55],"gray":[57,62,113,126],"gradient":[58],"co-occurrence":[59,115],"matrix(GGCM)":[60],"scale":[63,127],"histogram.":[64],"At":[65],"last.":[66],"tree":[68,85],"classifier":[69,95],"for":[72,83,162,175],"classification,":[73,86],"which":[74,158],"aimed":[75],"verify":[77],"Which":[78],"feature":[79,149],"is":[80,90,150],"more":[81,160],"suitable":[82,161],"decision":[84],"Parameter":[88],"estimation":[89],"evaluate":[93],"model.":[96],"Results:":[97],"For":[98],"hydatid,":[108],"accuracy":[111,124,134,146],"level":[114],"matrix":[116],"71%,69%":[118],"69%,":[120],"respectively.":[121],"histogram":[128],"74%,63.5%":[130],"69%.the":[132],"comprehensive":[136,148],"75%,":[139],"70.5%":[140],"80.5%.":[142],"Conclusion:":[143],"The":[144],"11.5%":[151],"higher":[152],"than":[153],"that":[154],"single":[156],"features,":[157],"are":[159],"polycystic":[166],"images.":[169,180],"This":[170],"algorithm":[171],"can":[172],"provide":[173],"reference":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
