{"id":"https://openalex.org/W4390904240","doi":"https://doi.org/10.1007/s10278-023-00938-2","title":"Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients","display_name":"Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390904240","doi":"https://doi.org/10.1007/s10278-023-00938-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/38343258"},"language":"en","primary_location":{"id":"doi:10.1007/s10278-023-00938-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-023-00938-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00938-2.pdf","source":{"id":"https://openalex.org/S4393920007","display_name":"Journal of Imaging Informatics in Medicine","issn_l":"2948-2925","issn":["2948-2925","2948-2933"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Informatics in Medicine","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/s10278-023-00938-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035129917","display_name":"Yi-Hui Lin","orcid":"https://orcid.org/0000-0002-7292-3942"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I4210091773","display_name":"Taichung Veterans General Hospital","ror":"https://ror.org/00e87hq62","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091773"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yi-Hui Lin","raw_affiliation_strings":["Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan","institution_ids":["https://openalex.org/I4210091773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040343890","display_name":"Chieh\u2010Ting Lin","orcid":"https://orcid.org/0000-0002-9591-0888"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chieh-Ting Lin","raw_affiliation_strings":["College of Artificial Intelligence, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101105724","display_name":"Ya-Han Chang","orcid":"https://orcid.org/0009-0007-4713-251X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Han Chang","raw_affiliation_strings":["Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002217153","display_name":"Yen\u2010Yu Lin","orcid":"https://orcid.org/0000-0002-7183-6070"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I4210091773","display_name":"Taichung Veterans General Hospital","ror":"https://ror.org/00e87hq62","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091773"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Yu Lin","raw_affiliation_strings":["Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan","institution_ids":["https://openalex.org/I4210091773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050310630","display_name":"Jen\u2010Jee Chen","orcid":"https://orcid.org/0000-0002-5453-3887"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Jee Chen","raw_affiliation_strings":["College of Artificial Intelligence, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, National Yang-Ming Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082146813","display_name":"Chun-Rong Huang","orcid":"https://orcid.org/0000-0003-2372-5429"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Rong Huang","raw_affiliation_strings":["Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101529824","display_name":"Yu\u2010Wei Hsu","orcid":"https://orcid.org/0000-0003-4983-835X"},"institutions":[{"id":"https://openalex.org/I4210091773","display_name":"Taichung Veterans General Hospital","ror":"https://ror.org/00e87hq62","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091773"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Wei Hsu","raw_affiliation_strings":["Cancer Prevention and Control Center, Taichung Veterans General Hospital, Taichung City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Cancer Prevention and Control Center, Taichung Veterans General Hospital, Taichung City, Taiwan","institution_ids":["https://openalex.org/I4210091773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020446670","display_name":"Weir-Chiang You","orcid":"https://orcid.org/0000-0001-8461-0663"},"institutions":[{"id":"https://openalex.org/I4210091773","display_name":"Taichung Veterans General Hospital","ror":"https://ror.org/00e87hq62","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091773"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Weir-Chiang You","raw_affiliation_strings":["Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan. bigjohnyou@vghtc.gov.tw","Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan. bigjohnyou@vghtc.gov.tw","institution_ids":["https://openalex.org/I4210091773"]},{"raw_affiliation_string":"Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung City, Taiwan","institution_ids":["https://openalex.org/I4210091773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5035129917"],"corresponding_institution_ids":["https://openalex.org/I148366613","https://openalex.org/I4210091773"],"apc_list":null,"apc_paid":null,"fwci":2.8358,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89178515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"37","issue":"2","first_page":"679","last_page":"687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10307","display_name":"Head and Neck Cancer Studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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":0.980400025844574,"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/T12379","display_name":"Cancer Diagnosis and Treatment","score":0.9684000015258789,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7221571207046509},{"id":"https://openalex.org/keywords/head-and-neck-cancer","display_name":"Head and neck cancer","score":0.5925682783126831},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.5537470579147339},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.548528254032135},{"id":"https://openalex.org/keywords/lymph-node-metastasis","display_name":"Lymph node metastasis","score":0.5038756728172302},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.4921933710575104},{"id":"https://openalex.org/keywords/head-and-neck","display_name":"Head and neck","score":0.4634535014629364},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4559524655342102},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.4028715193271637},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3961564600467682},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.37703049182891846},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3543270230293274},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.21189898252487183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1432935893535614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11622464656829834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.08580639958381653}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7221571207046509},{"id":"https://openalex.org/C2776530083","wikidata":"https://www.wikidata.org/wiki/Q1783924","display_name":"Head and neck cancer","level":3,"score":0.5925682783126831},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.5537470579147339},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.548528254032135},{"id":"https://openalex.org/C2992571226","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node metastasis","level":4,"score":0.5038756728172302},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.4921933710575104},{"id":"https://openalex.org/C3018411727","wikidata":"https://www.wikidata.org/wiki/Q3867488","display_name":"Head and neck","level":2,"score":0.4634535014629364},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4559524655342102},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.4028715193271637},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3961564600467682},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.37703049182891846},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3543270230293274},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.21189898252487183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1432935893535614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11622464656829834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.08580639958381653}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","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":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"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":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008207","descriptor_name":"Lymphatic Metastasis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10278-023-00938-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-023-00938-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00938-2.pdf","source":{"id":"https://openalex.org/S4393920007","display_name":"Journal of Imaging Informatics in Medicine","issn_l":"2948-2925","issn":["2948-2925","2948-2933"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Informatics in Medicine","raw_type":"journal-article"},{"id":"pmid:38343258","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38343258","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":"Journal of imaging informatics in medicine","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11031546","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11031546","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11031546/pdf/10278_2023_Article_938.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":"J Imaging Inform Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10278-023-00938-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-023-00938-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00938-2.pdf","source":{"id":"https://openalex.org/S4393920007","display_name":"Journal of Imaging Informatics in Medicine","issn_l":"2948-2925","issn":["2948-2925","2948-2933"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Informatics in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7300000190734863,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G135160501","display_name":null,"funder_award_id":"111-2634-F-006-012","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G3572183850","display_name":null,"funder_award_id":"NSTC 111-2634-F-006-012","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G6913766147","display_name":null,"funder_award_id":"TCVGH-YMCT1109107","funder_id":"https://openalex.org/F4320326232","funder_display_name":"Taichung Veterans General Hospital"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321528","display_name":"Shanghai Educational Development Foundation","ror":"https://ror.org/0220qvk04"},{"id":"https://openalex.org/F4320326232","display_name":"Taichung Veterans General Hospital","ror":null},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390904240.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1967694594","https://openalex.org/W2014506659","https://openalex.org/W2016028434","https://openalex.org/W2036618865","https://openalex.org/W2039382011","https://openalex.org/W2073086109","https://openalex.org/W2094479090","https://openalex.org/W2094593756","https://openalex.org/W2095081819","https://openalex.org/W2112595718","https://openalex.org/W2131352756","https://openalex.org/W2148754315","https://openalex.org/W2173163050","https://openalex.org/W2313665888","https://openalex.org/W2609704193","https://openalex.org/W2618530766","https://openalex.org/W2770565591","https://openalex.org/W2772114784","https://openalex.org/W2780025726","https://openalex.org/W2801110963","https://openalex.org/W2884801649","https://openalex.org/W2896760986","https://openalex.org/W2949650786","https://openalex.org/W2962835968","https://openalex.org/W2964279023","https://openalex.org/W2974440621","https://openalex.org/W2981557009","https://openalex.org/W3042073415","https://openalex.org/W3047901047","https://openalex.org/W3082324102","https://openalex.org/W3088878453","https://openalex.org/W3127642106","https://openalex.org/W3128203021","https://openalex.org/W3136333197","https://openalex.org/W3140514881","https://openalex.org/W3204680829","https://openalex.org/W4280490173","https://openalex.org/W4308523665","https://openalex.org/W4367183575"],"related_works":["https://openalex.org/W2599472179","https://openalex.org/W4323057981","https://openalex.org/W3178607569","https://openalex.org/W4310870954","https://openalex.org/W4308408209","https://openalex.org/W4301783946","https://openalex.org/W3196952692","https://openalex.org/W3177025895","https://openalex.org/W1980398461","https://openalex.org/W1991628107"],"abstract_inverted_index":{"The":[0,59,125,165],"accurate":[1],"diagnosis":[2],"and":[3,20,32,45,49,62,71,73,76,131,146,155,199,212,222,229,232,240,267,292,296,302],"staging":[4],"of":[5,116,133,141,153,157,167,170,183,190,196,216,281],"lymph":[6,52,201],"node":[7],"metastasis":[8],"(LNM)":[9],"are":[10],"crucial":[11],"for":[12,18,260],"determining":[13,287],"the":[14,67,102,107,129,144,150,171,186,193,204,253,279,282],"optimal":[15],"treatment":[16,300],"strategy":[17],"head":[19,44,266,291],"neck":[21,46,268,293],"cancer":[22,47,269,294],"patients.":[23,124,270],"We":[24],"aimed":[25],"to":[26,66,98,220,227,238,276],"develop":[27],"a":[28,86,119,181],"3D":[29,88,173,205,254,283],"Resnet":[30,89,93,174,206,255,284],"model":[31,90,175,207,256,285],"investigate":[33],"its":[34,112,297],"prediction":[35],"value":[36,235],"in":[37,118,160,214,243,265,286,290],"detecting":[38,244],"LNM.":[39],"This":[40],"study":[41,126],"enrolled":[42],"156":[43],"patients":[48,198,295],"analyzed":[50],"342":[51],"nodes":[53,202],"segmented":[54],"from":[55,101],"surgical":[56],"pathologic":[57],"reports.":[58],"patients'":[60],"clinical":[61,72],"pathological":[63],"data":[64],"related":[65],"primary":[68],"tumor":[69],"site":[70],"pathology":[74],"T":[75],"N":[77],"stages":[78],"were":[79,136],"collected.":[80],"To":[81,105],"predict":[82],"LNM,":[83],"we":[84,110],"developed":[85],"dual-pathway":[87],"incorporating":[91],"two":[92],"models":[94,179],"with":[95,114,180],"different":[96],"depths":[97],"extract":[99],"features":[100],"input":[103],"data.":[104],"assess":[106],"model's":[108],"performance,":[109],"compared":[111,219,226,237],"predictions":[113],"those":[115,140],"radiologists":[117,213],"test":[120,195],"dataset":[121],"comprising":[122],"38":[123,197],"found":[127],"that":[128,177,252],"dimensions":[130,148],"volume":[132],"LNM":[134,162,246,263,288],"+":[135,163,247,264,289],"significantly":[137],"larger":[138],"than":[139],"LNM-.":[142],"Specifically,":[143],"Y":[145],"Z":[147],"showed":[149],"highest":[151,187],"sensitivity":[152,217],"84.6%":[154],"specificity":[156],"72.2%,":[158],"respectively,":[159],"predicting":[161],".":[164,248],"analysis":[166],"various":[168],"variations":[169],"proposed":[172],"demonstrated":[176],"Dual-3D-Resnet":[178],"depth":[182],"34":[184],"achieved":[185],"AUC":[188],"values":[189],"0.9294.":[191],"In":[192],"validation":[194],"86":[200],"dataset,":[203],"outperformed":[208],"both":[209],"physical":[210],"examination":[211],"terms":[215],"(80.8%":[218],"50.0%":[221],"91.7%,":[223],"respectively),":[224,231],"specificity(90.0%":[225],"88.5%":[228],"65.4%,":[230],"positive":[233],"predictive":[234],"(77.8%":[236],"66.7%":[239],"55.0%,":[241],"respectively)":[242],"individual":[245],"These":[249],"results":[250],"suggest":[251],"can":[257],"be":[258],"valuable":[259],"accurately":[261],"identifying":[262],"A":[271],"prospective":[272],"trial":[273],"is":[274],"needed":[275],"evaluate":[277],"further":[278],"role":[280],"impact":[298],"on":[299],"strategies":[301],"patient":[303],"outcomes.":[304]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
