{"id":"https://openalex.org/W2972631344","doi":"https://doi.org/10.1109/i2mtc.2019.8827174","title":"Classification of diffuse liver diseases based on ultrasound images with multimodal features","display_name":"Classification of diffuse liver diseases based on ultrasound images with multimodal features","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2972631344","doi":"https://doi.org/10.1109/i2mtc.2019.8827174","mag":"2972631344"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2019.8827174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8827174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5100601959","display_name":"Dandan Li","orcid":"https://orcid.org/0009-0003-6132-8931"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Dandan","raw_affiliation_strings":["Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000215903","display_name":"Miao Huanhuan","orcid":null},"institutions":[{"id":"https://openalex.org/I156144747","display_name":"Harbin Medical University","ror":"https://ror.org/05jscf583","country_code":"CN","type":"education","lineage":["https://openalex.org/I156144747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Huanhuan","raw_affiliation_strings":["In-Patient Ultrasound Department, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"In-Patient Ultrasound Department, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China","institution_ids":["https://openalex.org/I156144747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674281","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-6482-2535"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xiang","raw_affiliation_strings":["Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063842794","display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0002-6238-9141"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Yu","raw_affiliation_strings":["Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739910","display_name":"Jing Jin","orcid":"https://orcid.org/0000-0002-6133-5491"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Jing","raw_affiliation_strings":["Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009129294","display_name":"Yi Shen","orcid":"https://orcid.org/0000-0002-3198-1927"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Yi","raw_affiliation_strings":["Shenzhen Engineering Lab for Medical Intelligent Wireless Ultrasonic Imaging Technology, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Engineering Lab for Medical Intelligent Wireless Ultrasonic Imaging Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100601959"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.8202,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89165006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9952999949455261,"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":0.9952999949455261,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9933000206947327,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7596640586853027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580173373222351},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6480588316917419},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.5545128583908081},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5431231260299683},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5232652425765991},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49387532472610474},{"id":"https://openalex.org/keywords/liver-fibrosis","display_name":"Liver fibrosis","score":0.4800502061843872},{"id":"https://openalex.org/keywords/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.46275803446769714},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.35024166107177734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32813552021980286},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31733906269073486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2948262691497803},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.25698110461235046},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17239364981651306},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17193001508712769},{"id":"https://openalex.org/keywords/fibrosis","display_name":"Fibrosis","score":0.14385661482810974}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7596640586853027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580173373222351},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6480588316917419},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.5545128583908081},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5431231260299683},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5232652425765991},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49387532472610474},{"id":"https://openalex.org/C2994217296","wikidata":"https://www.wikidata.org/wiki/Q147778","display_name":"Liver fibrosis","level":3,"score":0.4800502061843872},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.46275803446769714},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.35024166107177734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32813552021980286},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31733906269073486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2948262691497803},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25698110461235046},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17239364981651306},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17193001508712769},{"id":"https://openalex.org/C2780559512","wikidata":"https://www.wikidata.org/wiki/Q605709","display_name":"Fibrosis","level":2,"score":0.14385661482810974}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2019.8827174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8827174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4399999976158142,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1505833044","https://openalex.org/W2007440415","https://openalex.org/W2027196637","https://openalex.org/W2070896402","https://openalex.org/W2074082533","https://openalex.org/W2097117768","https://openalex.org/W2117438495","https://openalex.org/W2136207315","https://openalex.org/W2139441065","https://openalex.org/W2144854846","https://openalex.org/W2146425943","https://openalex.org/W2165621564","https://openalex.org/W2174661749","https://openalex.org/W2345010043","https://openalex.org/W2533800772","https://openalex.org/W2592929672","https://openalex.org/W2601950123","https://openalex.org/W2768348081","https://openalex.org/W2862834937"],"related_works":["https://openalex.org/W1505833044","https://openalex.org/W2617798614","https://openalex.org/W2393987497","https://openalex.org/W2390142724","https://openalex.org/W2354234745","https://openalex.org/W1996792633","https://openalex.org/W2367286358","https://openalex.org/W1966354130","https://openalex.org/W2380994097","https://openalex.org/W2001109438"],"abstract_inverted_index":{"This":[0],"paper":[1,105],"describes":[2],"a":[3,62],"method":[4,101],"of":[5,7,49,61,78],"classification":[6,110],"diffuse":[8],"liver":[9,66,81,84],"diseases":[10],"based":[11],"on":[12],"ultrasound":[13,67],"images":[14,68],"with":[15],"multimodal":[16,54],"features.":[17,45],"The":[18],"CNN":[19],"network":[20],"were":[21,39,51],"used":[22,40,57],"to":[23,41],"extract":[24,42],"image":[25,43],"structure":[26],"features,":[27,55],"while":[28],"Multi-scale":[29],"Gray-level":[30],"Co-occurrence":[31,37],"Matrix":[32],"(MGLCM)":[33],"and":[34,83,89],"Wavelet":[35],"Multi-sub-bands":[36],"Matrix(WMCM)":[38],"texture":[44],"These":[46],"two":[47],"kinds":[48],"features":[50],"combined":[52],"into":[53],"then":[56],"as":[58],"the":[59,73,100,108],"input":[60],"lightGBM":[63],"classifier.":[64],"2942":[65],"have":[69],"been":[70],"classified":[71],"using":[72],"proposed":[74,102],"method.":[75],"Classification":[76],"accuracies":[77],"normal,":[79],"fatty":[80],"disease":[82],"fibrosis":[85],"are":[86],"82.1%,":[87],"85.0%,":[88],"80.9%,":[90],"respectively.":[91],"It":[92],"can":[93,106],"be":[94],"seen":[95],"from":[96],"contrast":[97],"experiments":[98],"that":[99],"in":[103],"this":[104],"improve":[107],"overall":[109],"accuracy":[111],"by":[112],"5.4%.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"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"}
