{"id":"https://openalex.org/W4389610321","doi":"https://doi.org/10.1109/tmi.2023.3341846","title":"DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists","display_name":"DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W4389610321","doi":"https://doi.org/10.1109/tmi.2023.3341846","pmid":"https://pubmed.ncbi.nlm.nih.gov/38090840"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3341846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3341846","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/A5100331436","display_name":"Jiawen Li","orcid":"https://orcid.org/0000-0001-9339-2557"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawen Li","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9339-2557","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000711917","display_name":"Junru Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junru Cheng","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101028610","display_name":"Lingqin Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingqin Meng","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101969407","display_name":"Hui Yan","orcid":"https://orcid.org/0000-0002-0667-1636"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yan","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0667-1636","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719304","display_name":"Yonghong He","orcid":"https://orcid.org/0000-0002-9964-8901"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong He","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9964-8901","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071370604","display_name":"Huijuan Shi","orcid":"https://orcid.org/0000-0002-2998-1637"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210128921","display_name":"The First Affiliated Hospital, Sun Yat-sen University","ror":"https://ror.org/037p24858","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijuan Shi","raw_affiliation_strings":["Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210128921","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109583386","display_name":"Tian Guan","orcid":"https://orcid.org/0009-0007-3045-757X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Guan","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3989-6927","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010034064","display_name":"Anjia Han","orcid":"https://orcid.org/0000-0003-3357-5348"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210128921","display_name":"The First Affiliated Hospital, Sun Yat-sen University","ror":"https://ror.org/037p24858","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjia Han","raw_affiliation_strings":["Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3357-5348","affiliations":[{"raw_affiliation_string":"Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210128921","https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100331436"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.7041,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87805159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"4","first_page":"1501","last_page":"1512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.998199999332428,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9936000108718872,"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":0.7684986591339111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7438732385635376},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.536490797996521},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5335636138916016},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4940986931324005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4890178143978119},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48676037788391113},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.48355409502983093},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4712671935558319},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3945428729057312},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.33506691455841064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21783140301704407},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1686699092388153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07579448819160461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684986591339111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7438732385635376},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.536490797996521},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5335636138916016},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4940986931324005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4890178143978119},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48676037788391113},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.48355409502983093},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4712671935558319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3945428729057312},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.33506691455841064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21783140301704407},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1686699092388153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07579448819160461},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000072142","descriptor_name":"Pathologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072142","descriptor_name":"Pathologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072142","descriptor_name":"Pathologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072142","descriptor_name":"Pathologists","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2023.3341846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3341846","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:38090840","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38090840","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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2152541963","display_name":null,"funder_award_id":"2021A15-15012379","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G2995953437","display_name":null,"funder_award_id":"WDZC2020200821141349001","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G4167511369","display_name":null,"funder_award_id":"61975089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4309409207","display_name":null,"funder_award_id":"JCYJ20200109110606054","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G553570627","display_name":null,"funder_award_id":"2022A15-15012550","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8570796688","display_name":null,"funder_award_id":"61875102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316880","display_name":"Natural Science Foundation of Shenzhen City","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W150819262","https://openalex.org/W1522301498","https://openalex.org/W1625914768","https://openalex.org/W1649885719","https://openalex.org/W2090262123","https://openalex.org/W2108598243","https://openalex.org/W2118760854","https://openalex.org/W2132162500","https://openalex.org/W2134797427","https://openalex.org/W2151608510","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2316339075","https://openalex.org/W2408688145","https://openalex.org/W2416907124","https://openalex.org/W2474421929","https://openalex.org/W2592929672","https://openalex.org/W2745940724","https://openalex.org/W2759004613","https://openalex.org/W2760946358","https://openalex.org/W2769374082","https://openalex.org/W2805735218","https://openalex.org/W2885824038","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W2964317032","https://openalex.org/W2974825848","https://openalex.org/W3046154346","https://openalex.org/W3128158496","https://openalex.org/W3130936001","https://openalex.org/W3141984075","https://openalex.org/W3185056900","https://openalex.org/W3209367260","https://openalex.org/W3214733388","https://openalex.org/W4206218744","https://openalex.org/W4220789240","https://openalex.org/W4231559319","https://openalex.org/W4288809219","https://openalex.org/W4295940193","https://openalex.org/W4297775537","https://openalex.org/W4312199864","https://openalex.org/W4312769570","https://openalex.org/W6606134537","https://openalex.org/W6631190155","https://openalex.org/W6679909955","https://openalex.org/W6721136770","https://openalex.org/W6737664043","https://openalex.org/W6747701563","https://openalex.org/W6749810415","https://openalex.org/W6762718338","https://openalex.org/W6796494063"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2074219825"],"abstract_inverted_index":{"Digitization":[0],"of":[1,8,16,48,58,109,121,171,183],"pathological":[2,17,75,141],"slides":[3],"has":[4],"promoted":[5],"the":[6,45,55,87,97,131,140,169,179],"research":[7],"computer-aided":[9],"diagnosis,":[10],"in":[11,25,42,173],"which":[12],"artificial":[13,174],"intelligence":[14,175],"analysis":[15,46,176],"images":[18,27],"deserves":[19],"attention.":[20],"Appropriate":[21],"deep":[22,64,132],"learning":[23,65,133],"techniques":[24],"natural":[26],"have":[28],"been":[29],"extended":[30],"to":[31,84,95,161],"computational":[32],"pathology.":[33],"Still,":[34],"they":[35],"seldom":[36],"take":[37],"into":[38],"account":[39],"prior":[40,150],"knowledge":[41,151],"pathology,":[43],"especially":[44],"process":[47],"lesion":[49],"morphology":[50],"by":[51,54],"pathologists.":[52],"Inspired":[53],"diagnosis":[56,76],"decision":[57],"pathologists,":[59],"we":[60,105],"design":[61,115],"a":[62,80,107,118],"novel":[63],"architecture":[66,134],"based":[67,135,152],"on":[68,117,136,153],"tree-like":[69,137],"strategies":[70,138,155],"called":[71],"DeepTree.":[72],"It":[73],"imitates":[74],"methods,":[77],"designed":[78],"as":[79],"binary":[81],"tree":[82],"structure,":[83],"conditionally":[85],"learn":[86],"correlation":[88],"between":[89],"tissue":[90],"morphology,":[91],"and":[92,102,114,125,147,177],"optimizes":[93],"branches":[94],"finetune":[96],"performance":[98],"further.":[99],"To":[100],"validate":[101],"benchmark":[103],"DeepTree,":[104],"build":[106],"dataset":[108,120],"frozen":[110],"lung":[111],"cancer":[112],"tissues":[113],"experiments":[116],"public":[119],"breast":[122],"tumor":[123],"subtypes":[124],"our":[126],"dataset.":[127],"Results":[128],"show":[129],"that":[130],"makes":[139],"image":[142],"classification":[143],"more":[144],"accurate,":[145],"transparent,":[146],"convincing.":[148],"Simultaneously,":[149],"diagnostic":[154],"yields":[156],"superior":[157],"representation":[158],"ability":[159],"compared":[160],"alternative":[162],"methods.":[163],"Our":[164],"proposed":[165],"methodology":[166],"helps":[167],"improve":[168],"trust":[170],"pathologists":[172],"promotes":[178],"practical":[180],"clinical":[181],"application":[182],"pathology-assisted":[184],"diagnosis.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
