{"id":"https://openalex.org/W1937937026","doi":"https://doi.org/10.1109/cvpr.2015.7299174","title":"Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval","display_name":"Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1937937026","doi":"https://doi.org/10.1109/cvpr.2015.7299174","mag":"1937937026"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100330729","display_name":"Xiaofan Zhang","orcid":"https://orcid.org/0000-0001-5081-3972"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaofan Zhang","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, NC, US","University of North Carolina at Charlotte, 28223 USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC, US","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"University of North Carolina at Charlotte, 28223 USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108436833","display_name":"Hai Su","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Su","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA","University of Florida, Gainesville, 32611, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Gainesville, 32611, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725247","display_name":"Lin Yang","orcid":"https://orcid.org/0000-0002-7615-209X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Yang","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA","University of Florida, Gainesville, 32611, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Gainesville, 32611, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, NC, USA","University of North Carolina at Charlotte, 28223 USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"University of North Carolina at Charlotte, 28223 USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100330729"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":12.9429,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.98662518,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5361","last_page":"5368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8202638626098633},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6424756050109863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6225525140762329},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5896538496017456},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5302716493606567},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5224543809890747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5159605145454407},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4824443459510803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46042561531066895},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4568113386631012},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41270214319229126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.356601357460022},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10980144143104553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8202638626098633},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6424756050109863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225525140762329},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5896538496017456},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5302716493606567},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5224543809890747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5159605145454407},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4824443459510803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46042561531066895},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4568113386631012},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41270214319229126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.356601357460022},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10980144143104553},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7299174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W39360085","https://openalex.org/W112053056","https://openalex.org/W1582864141","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W1997436255","https://openalex.org/W2016209032","https://openalex.org/W2026448092","https://openalex.org/W2036924016","https://openalex.org/W2060003723","https://openalex.org/W2067622074","https://openalex.org/W2074668987","https://openalex.org/W2086921140","https://openalex.org/W2096709288","https://openalex.org/W2103243046","https://openalex.org/W2104208555","https://openalex.org/W2121743855","https://openalex.org/W2124155137","https://openalex.org/W2124752499","https://openalex.org/W2138257718","https://openalex.org/W2142332605","https://openalex.org/W2142881874","https://openalex.org/W2143093135","https://openalex.org/W2156398782","https://openalex.org/W2159551006","https://openalex.org/W2162006472","https://openalex.org/W2164338181","https://openalex.org/W2166289851","https://openalex.org/W2170126048","https://openalex.org/W2171790913","https://openalex.org/W2221852422","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W6648560114","https://openalex.org/W6657223460","https://openalex.org/W6681077227","https://openalex.org/W6684181414","https://openalex.org/W6684973550","https://openalex.org/W6688844344","https://openalex.org/W6691474080","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Computer-aided":[0],"diagnosis":[1],"of":[2,8,19,102,105,116,122],"medical":[3],"images":[4,118],"requires":[5],"thorough":[6],"analysis":[7],"image":[9],"details.":[10],"For":[11],"example,":[12],"examining":[13],"all":[14],"cells":[15],"enables":[16],"fine-grained":[17],"categorization":[18],"histopathological":[20,117],"images.":[21],"Traditional":[22],"computational":[23],"methods":[24],"may":[25],"have":[26],"efficiency":[27],"issues":[28],"when":[29],"performing":[30],"such":[31],"detailed":[32],"analysis.":[33],"In":[34],"this":[35,89],"paper,":[36],"we":[37],"propose":[38],"a":[39,48,83,93],"robust":[40,49],"and":[41,63,77,95,110,133],"scalable":[42],"solution":[43],"to":[44,54,75],"achieve":[45],"this.":[46],"Specifically,":[47],"segmentation":[50],"method":[51,125],"is":[52,72],"developed":[53],"delineate":[55],"region-of-interests":[56],"(e.g.,":[57],"cells)":[58],"accurately,":[59],"using":[60,114],"hierarchical":[61],"voting":[62],"repulsive":[64],"active":[65],"contour.":[66],"A":[67],"hashing-based":[68],"large-scale":[69],"retrieval":[70],"approach":[71],"also":[73],"designed":[74],"examine":[76],"classify":[78],"them":[79],"by":[80,136],"comparing":[81],"with":[82],"massive":[84],"training":[85],"database.":[86],"We":[87],"evaluate":[88],"proposed":[90],"framework":[91],"on":[92],"challenging":[94],"important":[96],"clinical":[97],"use":[98],"case,":[99],"i.e.,":[100,130],"differentiation":[101],"two":[103],"types":[104],"lung":[106],"cancers":[107],"(the":[108],"adenocarcinoma":[109],"the":[111],"squamous":[112],"carcinoma),":[113],"thousands":[115],"extracted":[119],"from":[120],"hundreds":[121],"patients.":[123],"Our":[124],"has":[126],"achieved":[127],"promising":[128],"performance,":[129],"87.3%":[131],"accuracy":[132],"1.68":[134],"seconds":[135],"searching":[137],"among":[138],"half-million":[139],"cells.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
