{"id":"https://openalex.org/W4310457503","doi":"https://doi.org/10.1109/tmi.2022.3225422","title":"Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection","display_name":"Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4310457503","doi":"https://doi.org/10.1109/tmi.2022.3225422"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3225422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3225422","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-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/A5018128548","display_name":"Yuchen Du","orcid":"https://orcid.org/0000-0003-0234-7828"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Du","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714002","display_name":"Lisheng Wang","orcid":"https://orcid.org/0000-0003-3234-7511"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisheng Wang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012516658","display_name":"Benzhi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benzhi Chen","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056892981","display_name":"Chengyang An","orcid":"https://orcid.org/0000-0001-6350-1177"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyang An","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659985","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-8687-3237"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355614","display_name":"Weiping Liu","orcid":"https://orcid.org/0000-0002-0367-1411"},"institutions":[{"id":"https://openalex.org/I4210088906","display_name":"MicroPort (China)","ror":"https://ror.org/006hzme35","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088906"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Liu","raw_affiliation_strings":["Shanghai MicroPort MedBot (Group) Company Ltd., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai MicroPort MedBot (Group) Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210088906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519965","display_name":"Yupeng Xu","orcid":"https://orcid.org/0000-0002-4788-7003"},"institutions":[{"id":"https://openalex.org/I4210135742","display_name":"Shanghai First People's Hospital","ror":"https://ror.org/04a46mh28","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Xu","raw_affiliation_strings":["Department of Ophthalmology, SJTU School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai General Hospital, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, SJTU School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai General Hospital, Shanghai, China","institution_ids":["https://openalex.org/I4210135742"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040647062","display_name":"Ying Fan","orcid":"https://orcid.org/0000-0002-5510-7484"},"institutions":[{"id":"https://openalex.org/I4210135742","display_name":"Shanghai First People's Hospital","ror":"https://ror.org/04a46mh28","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Fan","raw_affiliation_strings":["Department of Ophthalmology, SJTU School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai General Hospital, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, SJTU School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai General Hospital, Shanghai, China","institution_ids":["https://openalex.org/I4210135742"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046614213","display_name":"Xiuying Wang","orcid":"https://orcid.org/0000-0001-7160-5929"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuying Wang","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451924","display_name":"Xun Xu","orcid":"https://orcid.org/0000-0002-4246-4343"},"institutions":[{"id":"https://openalex.org/I4210135742","display_name":"Shanghai First People's Hospital","ror":"https://ror.org/04a46mh28","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Xu","raw_affiliation_strings":["Department of Ophthalmology, SJTU School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai General Hospital, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, SJTU School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photo Medicine, Shanghai General Hospital, Shanghai, China","institution_ids":["https://openalex.org/I4210135742"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5018128548"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.2888,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57355307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"42","issue":"4","first_page":"1185","last_page":"1196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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":0.6933409571647644},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6768404245376587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6087478399276733},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5693293809890747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5429340600967407},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5049789547920227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48056724667549133},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4767071604728699},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4664344787597656},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.08598199486732483},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08164012432098389}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933409571647644},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6768404245376587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6087478399276733},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5693293809890747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5429340600967407},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5049789547920227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48056724667549133},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4767071604728699},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4664344787597656},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.08598199486732483},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08164012432098389},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmi.2022.3225422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3225422","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G403269169","display_name":null,"funder_award_id":"YG2019ZDA26","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G4055984109","display_name":null,"funder_award_id":"82171100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G606079916","display_name":null,"funder_award_id":"12090024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W138041180","https://openalex.org/W195665135","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W1969496006","https://openalex.org/W1983592655","https://openalex.org/W2012875423","https://openalex.org/W2021586830","https://openalex.org/W2046119925","https://openalex.org/W2111854674","https://openalex.org/W2133665775","https://openalex.org/W2138507544","https://openalex.org/W2162698990","https://openalex.org/W2164278908","https://openalex.org/W2170140722","https://openalex.org/W2187214659","https://openalex.org/W2571047004","https://openalex.org/W2587499148","https://openalex.org/W2599354622","https://openalex.org/W2777241530","https://openalex.org/W2790288474","https://openalex.org/W2799374997","https://openalex.org/W2905123846","https://openalex.org/W2914570111","https://openalex.org/W2942760134","https://openalex.org/W2963684088","https://openalex.org/W2999250529","https://openalex.org/W3037260676","https://openalex.org/W3040266635","https://openalex.org/W3092001068","https://openalex.org/W3099733385","https://openalex.org/W3100203369","https://openalex.org/W3104436273","https://openalex.org/W3135550350","https://openalex.org/W3194662286","https://openalex.org/W3203598078","https://openalex.org/W3205363811","https://openalex.org/W4214694907","https://openalex.org/W4236132788","https://openalex.org/W4255271122","https://openalex.org/W4287181769","https://openalex.org/W4312398120","https://openalex.org/W4366807479","https://openalex.org/W4379660275","https://openalex.org/W6640963894","https://openalex.org/W6685352114","https://openalex.org/W6839286566"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W2105707930","https://openalex.org/W1755711892","https://openalex.org/W2164205946","https://openalex.org/W4214835788","https://openalex.org/W2891652452","https://openalex.org/W4206552806"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,33],"in":[2,23,141],"fundus":[3,12,40,45,55,107,143,171,192],"images":[4,13,144],"remains":[5],"challenging":[6],"due":[7],"to":[8,102,130,136,206],"the":[9,39,48,62,71,83,112,154,159,166,169,181,185,189,209,226],"fact":[10],"that":[11],"often":[14],"contain":[15],"diverse":[16,72,132,186,204],"types":[17,88],"of":[18,50,53,86,89,127,161,168,184],"lesions":[19,73,90,105,133,187],"with":[20,74,111],"various":[21],"properties":[22],"locations,":[24],"sizes,":[25],"shapes,":[26],"and":[27,77,91,145,174,188,195,200,221],"colors.":[28],"Current":[29],"methods":[30,68,98],"achieve":[31],"anomaly":[32,210],"mainly":[34],"through":[35],"reconstructing":[36],"or":[37],"separating":[38],"image":[41,46,108,172,193],"background":[42,190],"from":[43,64,106,203],"a":[44,51,123],"under":[47],"guidance":[49],"set":[52],"normal":[54,113],"images.":[56],"The":[57,66,212],"reconstruction":[58],"methods,":[59],"however,":[60],"ignore":[61],"constraint":[63],"lesions.":[65],"separation":[67],"primarily":[69],"model":[70,131],"pixel-based":[75],"independent":[76],"identical":[78],"distributed":[79],"(i.i.d.)":[80],"properties,":[81],"neglecting":[82],"individualized":[84,182],"variations":[85,115,140],"different":[87,142],"their":[92,137,146],"structural":[93,148],"properties.":[94,149],"And":[95],"hence,":[96],"these":[97,119],"may":[99],"have":[100],"difficulty":[101],"well":[103],"distinguish":[104],"backgrounds":[109,173,194],"especially":[110],"personalized":[114],"(NPV).":[116],"To":[117],"address":[118],"challenges,":[120],"we":[121,151],"propose":[122],"patch-based":[124],"non-i.i.d.":[125],"mixture":[126],"Gaussian":[128],"(MoG)":[129],"for":[134,164],"adapting":[135],"statistical":[138],"distribution":[139],"patch-like":[147],"Further,":[150],"particularly":[152],"introduce":[153],"weighted":[155],"Schatten":[156],"p-norm":[157],"as":[158],"metric":[160],"low-rank":[162],"decomposition":[163],"enhancing":[165],"accuracy":[167],"learned":[170,199],"reducing":[175],"false-positives":[176],"caused":[177],"by":[178],"NPV.":[179],"With":[180],"modeling":[183],"learning,":[191],"NPV":[196],"are":[197],"finely":[198],"subsequently":[201],"distinguished":[202],"lesions,":[205],"ultimately":[207],"improve":[208],"detection.":[211],"proposed":[213],"method":[214],"is":[215],"evaluated":[216],"on":[217],"two":[218],"real-world":[219],"databases":[220],"one":[222],"artificial":[223],"database,":[224],"outperforming":[225],"state-of-the-art":[227],"methods.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-12-10T00:00:00"}