{"id":"https://openalex.org/W2790701475","doi":"https://doi.org/10.1109/tmi.2018.2796130","title":"Histopathological Whole Slide Image Analysis Using Context-Based CBIR","display_name":"Histopathological Whole Slide Image Analysis Using Context-Based CBIR","publication_year":2018,"publication_date":"2018-01-22","ids":{"openalex":"https://openalex.org/W2790701475","doi":"https://doi.org/10.1109/tmi.2018.2796130","mag":"2790701475","pmid":"https://pubmed.ncbi.nlm.nih.gov/29969415"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2796130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2796130","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","pubmed"],"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/A5009630205","display_name":"Yushan Zheng","orcid":"https://orcid.org/0000-0003-3302-0481"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Zheng","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3302-0481","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016853247","display_name":"Zhiguo Jiang","orcid":"https://orcid.org/0000-0001-8786-2540"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Jiang","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8786-2540","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729435","display_name":"Haopeng Zhang","orcid":"https://orcid.org/0000-0003-1981-8307"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haopeng Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1981-8307","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052196775","display_name":"Fengying Xie","orcid":"https://orcid.org/0000-0002-5681-2345"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengying Xie","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5681-2345","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075535753","display_name":"Yibing Ma","orcid":"https://orcid.org/0000-0003-2878-7303"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibing Ma","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2878-7303","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083281827","display_name":"Huaqiang Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141682","display_name":"Air Force General Hospital PLA","ror":"https://ror.org/042jtt364","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiang Shi","raw_affiliation_strings":["Department of Pathology, Peoples Liberation Army Air Force General Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, Peoples Liberation Army Air Force General Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210141682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100660064","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0002-8454-0025"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Motic (Xiamen) Medical Diagnostic Systems Co. Ltd., Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Motic (Xiamen) Medical Diagnostic Systems Co. Ltd., Xiamen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":10.5622,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.98543234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"37","issue":"7","first_page":"1641","last_page":"1652"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7953681945800781},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6541914939880371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6008792519569397},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5732755661010742},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5369603037834167},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.512549638748169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4153628647327423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37225157022476196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35082221031188965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953681945800781},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6541914939880371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008792519569397},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5732755661010742},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5369603037834167},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.512549638748169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4153628647327423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37225157022476196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35082221031188965},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2018.2796130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2796130","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"},{"id":"pmid:29969415","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29969415","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"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":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1441625172","display_name":"\u76ae\u80a4\u955c\u56fe\u50cf\u8d28\u91cf\u7684\u7efc\u5408\u8bc4\u4ef7\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61471016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2228236926","display_name":"\u75c5\u7406\u56fe\u50cf\u68c0\u7d22\u4e0e\u8f85\u52a9\u8bca\u65ad\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61371134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G365525761","display_name":null,"funder_award_id":"61501009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7781362149","display_name":"\u57fa\u4e8eWSI\u7684\u75c5\u7406\u56fe\u50cf\u8f85\u52a9\u8bca\u65ad\u6280\u672f\u7814\u7a76","funder_award_id":"61771031","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W6585196","https://openalex.org/W1086688568","https://openalex.org/W1519416540","https://openalex.org/W1597336200","https://openalex.org/W1612003148","https://openalex.org/W1835905048","https://openalex.org/W1843972224","https://openalex.org/W1880262756","https://openalex.org/W1939738412","https://openalex.org/W1943357268","https://openalex.org/W1969967082","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2011466092","https://openalex.org/W2031271940","https://openalex.org/W2036424610","https://openalex.org/W2036924016","https://openalex.org/W2037696125","https://openalex.org/W2039758605","https://openalex.org/W2040599785","https://openalex.org/W2044195942","https://openalex.org/W2098140880","https://openalex.org/W2098979973","https://openalex.org/W2103243046","https://openalex.org/W2107034620","https://openalex.org/W2118858186","https://openalex.org/W2145908554","https://openalex.org/W2151103935","https://openalex.org/W2173930701","https://openalex.org/W2282915343","https://openalex.org/W2294868278","https://openalex.org/W2302302587","https://openalex.org/W2313312719","https://openalex.org/W2470610394","https://openalex.org/W2497426408","https://openalex.org/W2521176774","https://openalex.org/W2573546209","https://openalex.org/W2593775549","https://openalex.org/W2615195201","https://openalex.org/W2695671537","https://openalex.org/W2727586780","https://openalex.org/W4231510805","https://openalex.org/W6631015217","https://openalex.org/W6635816984","https://openalex.org/W6636440780","https://openalex.org/W6639619044","https://openalex.org/W6648560114","https://openalex.org/W6677919164","https://openalex.org/W6697722981","https://openalex.org/W6734432051"],"related_works":["https://openalex.org/W2044706866","https://openalex.org/W2746816529","https://openalex.org/W2900811989","https://openalex.org/W2341223103","https://openalex.org/W2905186525","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W3017331082","https://openalex.org/W2273467235"],"abstract_inverted_index":{"Histopathological":[0],"image":[1,7,19],"classification":[2],"(HIC)":[3],"and":[4,157,213],"content-based":[5],"histopathological":[6,16,33],"retrieval":[8,198],"(CBHIR)":[9],"are":[10,90,207,214],"two":[11],"promising":[12],"applications":[13],"for":[14,55,66,71,100,126],"the":[15,26,56,105,152,167,176,184,187,197,205,210,238,241],"whole":[17,147],"slide":[18,148],"(WSI)":[20],"analysis.":[21],"HIC":[22,37,156],"can":[23,38,95,192],"efficiently":[24],"predict":[25],"type":[27],"of":[28,74,81,85,104,143,154,178,204,231,240],"lesion":[29],"involved":[30],"in":[31,41,190],"a":[32,47,51,72,78,111,120,127,139,172],"image.":[34],"In":[35,58,134,159],"general,":[36],"aid":[39],"pathologists":[40,217],"locating":[42],"high-risk":[43],"cancer":[44,145],"regions":[45,67,189],"from":[46,77,119],"WSI":[48,228],"by":[49],"providing":[50],"cancerous":[52],"probability":[53,173,185],"map":[54,174],"WSI.":[57,121],"contrast,":[59],"CBHIR":[60,107,124,162],"was":[61,223],"developed":[62],"to":[63,92,115,131,201,216],"allow":[64],"searches":[65],"with":[68,87],"similar":[69,88],"content":[70,89],"region":[73],"interest":[75],"(ROI)":[76],"database":[79],"consisting":[80],"historical":[82],"cases.":[83],"Sets":[84],"cases":[86],"accessible":[91],"pathologists,":[93],"which":[94,150,171],"provide":[96],"more":[97],"valuable":[98],"references":[99],"diagnosis.":[101,220],"A":[102],"drawback":[103],"recent":[106],"framework":[108,142],"is":[109,163,181],"that":[110],"query":[112],"ROI":[113],"needs":[114,130],"be":[116,132,193],"manually":[117],"selected":[118],"An":[122],"automatic":[123,211],"approach":[125],"WSI-wise":[128],"analysis":[129,212],"developed.":[133],"this":[135],"paper,":[136],"we":[137],"propose":[138],"novel":[140],"aided-diagnosis":[141],"breast":[144,179,232],"using":[146],"images,":[149],"shares":[151],"advantages":[153],"both":[155],"CBHIR.":[158],"our":[160],"framework,":[161],"automatically":[164],"processed":[165],"throughout":[166],"WSI,":[168],"based":[169],"on":[170,225],"regarding":[175],"malignancy":[177],"tumors":[180],"calculated.":[182],"Through":[183],"map,":[186],"malignant":[188],"WSIs":[191,206],"easily":[194],"recognized.":[195],"Furthermore,":[196],"results":[199,236],"corresponding":[200],"each":[202],"sub-region":[203],"recorded":[208],"during":[209,218],"available":[215],"their":[219],"Our":[221],"method":[222],"validated":[224],"fully":[226],"annotated":[227],"data":[229],"sets":[230],"tumors.":[233],"The":[234],"experimental":[235],"certify":[237],"effectiveness":[239],"proposed":[242],"method.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":7}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
