{"id":"https://openalex.org/W4321437409","doi":"https://doi.org/10.1007/s11517-023-02799-x","title":"Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning","display_name":"Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321437409","doi":"https://doi.org/10.1007/s11517-023-02799-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/36809427"},"language":"en","primary_location":{"id":"doi:10.1007/s11517-023-02799-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-023-02799-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-023-02799-x.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11517-023-02799-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036326450","display_name":"Luxin Tan","orcid":"https://orcid.org/0000-0002-4216-3946"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210093964","display_name":"Peking University Cancer Hospital","ror":"https://ror.org/00nyxxr91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093964"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luxin Tan","raw_affiliation_strings":["Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319253","display_name":"Huan Li","orcid":"https://orcid.org/0000-0003-3878-0973"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210093964","display_name":"Peking University Cancer Hospital","ror":"https://ror.org/00nyxxr91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001477973","display_name":"Jinze Yu","orcid":null},"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":"Jinze Yu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China","School of Computer Science and Engineering, Beihang University, Beijing, 100191, China","Shenyuan Honors College, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shenyuan Honors College, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086419494","display_name":"Haoyi Zhou","orcid":"https://orcid.org/0000-0002-2393-3634"},"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":"Haoyi Zhou","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China","College of Software, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"College of Software, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376398","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-5276-1413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["Blot Info & Tech (Beijing) Co. Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Blot Info & Tech (Beijing) Co. Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109591709","display_name":"Zhiyong Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126903","display_name":"Zhong Ke San Huan (China)","ror":"https://ror.org/031mqp384","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Niu","raw_affiliation_strings":["Blot Info & Tech (Beijing) Co. Ltd, Beijing, China. niuzhiyong@blothealth.com","Blot Info & Tech (Beijing) Co. Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Blot Info & Tech (Beijing) Co. Ltd, Beijing, China. niuzhiyong@blothealth.com","institution_ids":["https://openalex.org/I4210126903"]},{"raw_affiliation_string":"Blot Info & Tech (Beijing) Co. Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380463","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0001-5152-0055"},"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":"Jianxin Li","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China. lijx@act.buaa.edu.cn","School of Computer Science and Engineering, Beihang University, Beijing, 100191, China. lijx@act.buaa.edu.cn","School of Computer Science and Engineering, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China. lijx@act.buaa.edu.cn","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, 100191, China. lijx@act.buaa.edu.cn","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100771219","display_name":"Zhongwu Li","orcid":"https://orcid.org/0000-0003-3440-9077"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210093964","display_name":"Peking University Cancer Hospital","ror":"https://ror.org/00nyxxr91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093964"]},{"id":"https://openalex.org/I4210147617","display_name":"Ministry of Education","ror":"https://ror.org/0429te836","country_code":"ET","type":"government","lineage":["https://openalex.org/I4210147617"]}],"countries":["CN","ET"],"is_corresponding":false,"raw_author_name":"Zhongwu Li","raw_affiliation_strings":["Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. zhwuli@hotmail.com","Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. zhwuli@hotmail.com","institution_ids":["https://openalex.org/I4210147617"]},{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036326450"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":7.7912,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97715557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"61","issue":"6","first_page":"1565","last_page":"1580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980000257492065,"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/T10862","display_name":"AI in cancer detection","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lymph","display_name":"Lymph","score":0.6733987331390381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002609133720398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5110844373703003},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.48197048902511597},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.4730127155780792},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.46983903646469116},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46744903922080994},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4659009873867035},{"id":"https://openalex.org/keywords/lymph-node-metastasis","display_name":"Lymph node metastasis","score":0.4642518162727356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32966291904449463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32238346338272095},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.28281229734420776},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.24258551001548767},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14173686504364014}],"concepts":[{"id":"https://openalex.org/C2779720271","wikidata":"https://www.wikidata.org/wiki/Q179422","display_name":"Lymph","level":2,"score":0.6733987331390381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002609133720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5110844373703003},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.48197048902511597},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.4730127155780792},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.46983903646469116},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46744903922080994},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4659009873867035},{"id":"https://openalex.org/C2992571226","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node metastasis","level":4,"score":0.4642518162727356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32966291904449463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32238346338272095},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28281229734420776},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.24258551001548767},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14173686504364014}],"mesh":[{"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":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1007/s11517-023-02799-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-023-02799-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-023-02799-x.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},{"id":"pmid:36809427","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36809427","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":"Medical & biological engineering & computing","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10182132","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10182132","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10182132/pdf/11517_2023_Article_2799.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Med Biol Eng Comput","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11517-023-02799-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-023-02799-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-023-02799-x.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321437409.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1598584994","https://openalex.org/W2044608166","https://openalex.org/W2062177968","https://openalex.org/W2140340422","https://openalex.org/W2302003756","https://openalex.org/W2302302587","https://openalex.org/W2537275935","https://openalex.org/W2773510519","https://openalex.org/W2796409016","https://openalex.org/W2805735218","https://openalex.org/W2808210572","https://openalex.org/W2945807221","https://openalex.org/W2956228567","https://openalex.org/W2962939528","https://openalex.org/W2971045153","https://openalex.org/W2975180264","https://openalex.org/W2982406227","https://openalex.org/W2996780833","https://openalex.org/W3004053956","https://openalex.org/W3009926465","https://openalex.org/W3011974116","https://openalex.org/W3034534840","https://openalex.org/W3041937667","https://openalex.org/W3080854745","https://openalex.org/W3082636273","https://openalex.org/W3089090082","https://openalex.org/W3091149861","https://openalex.org/W3093416812","https://openalex.org/W3098637688","https://openalex.org/W3115168802","https://openalex.org/W3119441468","https://openalex.org/W3123414476","https://openalex.org/W3128646645","https://openalex.org/W3135547872","https://openalex.org/W3167269280","https://openalex.org/W3167514989","https://openalex.org/W3176719058","https://openalex.org/W3201905155","https://openalex.org/W3205605830","https://openalex.org/W3206785039","https://openalex.org/W4211168195","https://openalex.org/W4226512818","https://openalex.org/W4313160863"],"related_works":["https://openalex.org/W2008553569","https://openalex.org/W2068703179","https://openalex.org/W2028414386","https://openalex.org/W4361257721","https://openalex.org/W2020142317","https://openalex.org/W203485574","https://openalex.org/W1966798989","https://openalex.org/W1973402430","https://openalex.org/W4361237345","https://openalex.org/W2079912968"],"abstract_inverted_index":{"Lymph":[0],"node":[1,66,221,263],"metastasis":[2,222,229],"examined":[3],"by":[4,29,173],"the":[5,13,34,40,53,58,63,81,96,115,120,134,138,145,157,160,164,191,196,200,203,238,243,246,260,267,278,292,300,305,311],"resected":[6],"lymph":[7,59,65,193,220,230,235,262,268],"nodes":[8,60,194,231,269],"is":[9,74,108,152,171,183,211],"considered":[10],"one":[11],"of":[12,57,86,95,166,225,240,252,280],"most":[14,306],"important":[15],"prognostic":[16],"factors":[17],"for":[18,259,266],"colorectal":[19],"cancer":[20],"(CRC).":[21],"However,":[22],"it":[23],"requires":[24],"careful":[25],"and":[26,37,92,98,119,131,137,159,188,202,213,232,242,272,285,324],"comprehensive":[27],"inspection":[28],"expert":[30],"pathologists.":[31],"To":[32],"relieve":[33],"pathologists'":[35],"burden":[36],"speed":[38],"up":[39],"diagnostic":[41,181,209,275,296],"process,":[42],"in":[43,76,88,110,320,329],"this":[44,111],"paper,":[45],"we":[46],"develop":[47],"a":[48,103,180,216],"deep":[49],"learning":[50,71],"system":[51,182,276,293],"with":[52,133,144,177,270],"binary":[54],"positive/negative":[55],"labels":[56],"to":[61,79,185],"solve":[62],"CRC":[64,219],"classification":[67,150],"task.":[68],"The":[69,125,148,207],"multi-instance":[70],"(MIL)":[72],"framework":[73],"adopted":[75],"our":[77,167,274],"method":[78],"handle":[80],"whole":[82],"slide":[83],"images":[84],"(WSIs)":[85],"gigapixels":[87],"size":[89],"at":[90],"once":[91],"get":[93],"rid":[94],"labor-intensive":[97],"time-consuming":[99],"detailed":[100],"annotations.":[101],"First,":[102],"transformer-based":[104],"MIL":[105,122],"model,":[106],"DT-DSMIL,":[107],"proposed":[109,168],"paper":[112],"based":[113,154,198],"on":[114,155,199,215],"deformable":[116,135],"transformer":[117],"backbone":[118],"dual-stream":[121],"(DSMIL)":[123],"framework.":[124],"local-level":[126],"image":[127,140],"features":[128,141],"are":[129,142],"extracted":[130],"aggregated":[132],"transformer,":[136],"global-level":[139,161],"obtained":[143],"DSMIL":[146],"aggregator.":[147],"final":[149],"decision":[151],"made":[153],"both":[156],"local":[158],"features.":[162],"After":[163],"effectiveness":[165],"DT-DSMIL":[169,201],"model":[170,210,301],"demonstrated":[172],"comparing":[174],"its":[175,178],"performance":[176],"predecessors,":[179],"developed":[184,208],"detect,":[186],"crop,":[187],"finally":[189],"identify":[190,304],"single":[192,261],"within":[195],"slides":[197,227,328],"Faster":[204],"R-CNN":[205],"model.":[206],"trained":[212],"tested":[214],"clinically":[217],"collected":[218],"dataset":[223],"composed":[224],"843":[226],"(864":[228],"1415":[233],"non-metastatic":[234],"nodes),":[236],"achieving":[237],"accuracy":[239],"95.3%":[241],"area":[244],"under":[245],"receiver":[247],"operating":[248],"characteristic":[249],"curve":[250],"(AUC)":[251],"0.9762":[253],"(95%":[254,282,287],"confidence":[255],"interval":[256],"[CI]:":[257],"0.9607-0.9891)":[258],"classification.":[264],"As":[265],"micro-metastasis":[271],"macro-metastasis,":[273],"achieves":[277],"AUC":[279],"0.9816":[281],"CI:":[283,288],"0.9659-0.9935)":[284],"0.9902":[286],"0.9787-0.9983),":[289],"respectively.":[290],"Moreover,":[291],"shows":[294],"reliable":[295],"region":[297],"localizing":[298],"performance:":[299],"can":[302],"always":[303],"likely":[307],"metastases,":[308],"no":[309],"matter":[310],"model's":[312],"predictions":[313],"or":[314],"manual":[315],"labels,":[316],"showing":[317],"great":[318],"potential":[319],"avoiding":[321],"false":[322],"negatives":[323],"discovering":[325],"incorrectly":[326],"labeled":[327],"actual":[330],"clinical":[331],"use.":[332]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
