{"id":"https://openalex.org/W2063629842","doi":"https://doi.org/10.1109/bmei.2014.7002744","title":"Multiple-instance learning with global and local features for thyroid ultrasound image classification","display_name":"Multiple-instance learning with global and local features for thyroid ultrasound image classification","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2063629842","doi":"https://doi.org/10.1109/bmei.2014.7002744","mag":"2063629842"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2014.7002744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2014.7002744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 7th International Conference on Biomedical Engineering and Informatics","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/A5101748510","display_name":"Jianrui Ding","orcid":"https://orcid.org/0000-0002-3408-9301"},"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":"Jianrui Ding","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103519385","display_name":"H.D. Cheng","orcid":"https://orcid.org/0000-0001-7415-6030"},"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"]},{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"H. D. Cheng","raw_affiliation_strings":["Department of Computer Science, Utah State University, Logan, USA","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Utah State University, Logan, USA","institution_ids":["https://openalex.org/I121980950"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017164730","display_name":"Jianhua Huang","orcid":"https://orcid.org/0000-0003-0177-7404"},"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":"Jianhua Huang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032429023","display_name":"Yingtao Zhang","orcid":"https://orcid.org/0000-0002-8587-9645"},"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":"Yingtao Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101748510"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80339203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"66","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T10862","display_name":"AI in cancer detection","score":0.9846000075340271,"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":0.9782000184059143,"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":0.7162755727767944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6057876348495483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5865001678466797},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5500360131263733},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5371506810188293},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5297043323516846},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4535958170890808},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4214853048324585},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.41411030292510986},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38400015234947205},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.17384180426597595},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13936135172843933}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7162755727767944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6057876348495483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5865001678466797},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5500360131263733},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5371506810188293},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5297043323516846},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4535958170890808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4214853048324585},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.41411030292510986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38400015234947205},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.17384180426597595},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13936135172843933}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2014.7002744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2014.7002744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 7th International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1540386283","https://openalex.org/W2011585383","https://openalex.org/W2078579128","https://openalex.org/W2108736975","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2113275954","https://openalex.org/W2114564815","https://openalex.org/W2127983967","https://openalex.org/W2145293609","https://openalex.org/W2152195571","https://openalex.org/W2154318594","https://openalex.org/W6632200337","https://openalex.org/W6669992580","https://openalex.org/W6676245398","https://openalex.org/W6683033130"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2972873516","https://openalex.org/W2405125474","https://openalex.org/W2074864407","https://openalex.org/W2364223252","https://openalex.org/W1989502759","https://openalex.org/W2363908918","https://openalex.org/W2153132133"],"abstract_inverted_index":{"Multi-modality":[0],"thyroid":[1,20,62],"ultrasound":[2,22,63],"image":[3,23,39,64],"can":[4,137],"provide":[5],"more":[6],"information":[7,92],"about":[8],"the":[9,12,19,25,33,37,41,45,52,74,90,94,102,106,127,134],"lesion":[10],"for":[11,125],"physician":[13],"to":[14,60,73,88],"diagnosis.":[15],"In":[16],"this":[17],"paper,":[18],"B-mode":[21,38,70,107],"and":[24,40,108],"elastogrom":[26],"are":[27,47,71],"viewed":[28],"as":[29,49],"a":[30,114],"bag.":[31,53],"And":[32],"local":[34],"features":[35,43,68],"of":[36,44,51,69,84,93,101,105,111],"global":[42,109],"elastogram":[46,85],"considered":[48],"instances":[50],"Multiple-instance":[54],"learning":[55,117],"(MIL)":[56],"method":[57,136],"is":[58,86,99,123],"employed":[59,124],"solve":[61],"classification":[65],"problem.":[66],"Local":[67],"mapped":[72],"concept":[75,103],"space":[76],"by":[77],"self-organizing":[78],"map":[79],"(SOM).":[80],"The":[81,96,129],"hue":[82],"component":[83],"extracted":[87],"represent":[89],"elasticity":[91,110],"lesion.":[95,128],"bag":[97],"vector":[98,104,120],"composed":[100],"elastogram.":[112],"Finally,":[113],"traditional":[115],"supervised":[116],"method,":[118],"support":[119],"machine":[121],"(SVM),":[122],"classifying":[126],"experimental":[130],"results":[131],"show":[132],"that":[133],"proposed":[135],"achieve":[138],"better":[139],"performance.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
