{"id":"https://openalex.org/W2809976914","doi":"https://doi.org/10.1109/bibm.2018.8621245","title":"Leveraging Disease Progression Learning for Medical Image Recognition","display_name":"Leveraging Disease Progression Learning for Medical Image Recognition","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2809976914","doi":"https://doi.org/10.1109/bibm.2018.8621245","mag":"2809976914"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5013010213","display_name":"Qicheng Lao","orcid":"https://orcid.org/0000-0002-6032-8548"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Qicheng Lao","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000617157","display_name":"Thomas Fevens","orcid":"https://orcid.org/0000-0003-1160-1429"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Thomas Fevens","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montr\u00e9al, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100383954","display_name":"Boyu Wang","orcid":"https://orcid.org/0000-0002-6108-3589"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyu Wang","raw_affiliation_strings":["Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA"],"affiliations":[{"raw_affiliation_string":"Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013010213"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06545908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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":0.9993000030517578,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9975000023841858,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.7872956395149231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7264015674591064},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5725489258766174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.566349983215332},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5198364853858948},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5151468515396118},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5113350749015808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4995388984680176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49142253398895264},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47797462344169617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4471905827522278},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4285694658756256},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12415686249732971},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07793286442756653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872956395149231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7264015674591064},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5725489258766174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.566349983215332},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5198364853858948},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5151468515396118},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5113350749015808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4995388984680176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49142253398895264},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47797462344169617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4471905827522278},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4285694658756256},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12415686249732971},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07793286442756653},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2002667055","https://openalex.org/W2053953532","https://openalex.org/W2064675550","https://openalex.org/W2132587081","https://openalex.org/W2141173017","https://openalex.org/W2255847468","https://openalex.org/W2515788890","https://openalex.org/W2525157777","https://openalex.org/W2526511911","https://openalex.org/W2533800772","https://openalex.org/W2592929672","https://openalex.org/W2621477274","https://openalex.org/W2639586488","https://openalex.org/W2640386719","https://openalex.org/W2950035161","https://openalex.org/W2963078493","https://openalex.org/W2963122731","https://openalex.org/W2963409068","https://openalex.org/W2985962305","https://openalex.org/W6680930200","https://openalex.org/W6685812147","https://openalex.org/W6691697006","https://openalex.org/W6726029915","https://openalex.org/W6727408574","https://openalex.org/W6738671824"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W3008584592"],"abstract_inverted_index":{"Unlike":[0],"natural":[1],"images,":[2],"medical":[3,49],"images":[4,19,57],"often":[5],"have":[6],"intrinsic":[7],"characteristics":[8],"that":[9,20,43,68,100,134],"can":[10],"be":[11,103],"leveraged":[12],"for":[13,48,75,84],"neural":[14,66],"network":[15,67,83],"learning.":[16,140],"For":[17],"example,":[18],"belong":[21],"to":[22,96,102,130],"different":[23],"stages":[24,61],"of":[25,56,70,87],"a":[26,31,40,65,71,79,115],"disease":[27,45,60,107,126,138],"may":[28],"continuously":[29],"follow":[30],"certain":[32],"progression":[33,46,139],"pattern.":[34],"In":[35,52],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41],"method":[42,111,133],"leverages":[44],"learning":[47,86],"image":[50],"recognition.":[51],"our":[53],"method,":[54],"sequences":[55],"ordered":[58],"by":[59,64],"are":[62,93],"learned":[63],"consists":[69],"shared":[72],"vision":[73,91],"model":[74],"feature":[76],"extraction":[77],"and":[78,120],"long":[80],"short-term":[81],"memory":[82],"the":[85,106,131],"stage":[88,98],"sequences.":[89],"Auxiliary":[90],"outputs":[92],"also":[94],"included":[95],"capture":[97],"features":[99],"tend":[101],"discrete":[104],"along":[105],"progression.":[108],"Our":[109],"proposed":[110],"is":[112],"evaluated":[113],"on":[114],"public":[116],"diabetic":[117],"retinopathy":[118],"dataset,":[119],"achieves":[121],"about":[122],"3.3%":[123],"improvement":[124],"in":[125],"staging":[127],"accuracy,":[128],"compared":[129],"baseline":[132],"does":[135],"not":[136],"use":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
