{"id":"https://openalex.org/W3133858468","doi":"https://doi.org/10.1109/tmi.2021.3062902","title":"3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification","display_name":"3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3133858468","doi":"https://doi.org/10.1109/tmi.2021.3062902","mag":"3133858468","pmid":"https://pubmed.ncbi.nlm.nih.gov/33646948"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3062902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3062902","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/A5100703416","display_name":"Yongtao Zhang","orcid":"https://orcid.org/0000-0001-6379-6075"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Zhang","raw_affiliation_strings":["Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6379-6075","affiliations":[{"raw_affiliation_string":"Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708071","display_name":"Haimei Li","orcid":"https://orcid.org/0000-0001-7708-6744"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haimei Li","raw_affiliation_strings":["Department of Radiology, Fuxing Hospital, Capital Medical University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7708-6744","affiliations":[{"raw_affiliation_string":"Department of Radiology, Fuxing Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048331196","display_name":"Jie Du","orcid":"https://orcid.org/0000-0003-1518-436X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Du","raw_affiliation_strings":["Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1518-436X","affiliations":[{"raw_affiliation_string":"Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Qin","orcid":"https://orcid.org/0000-0002-2961-0860"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Qin","raw_affiliation_strings":["Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2961-0860","affiliations":[{"raw_affiliation_string":"Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1248-1214","affiliations":[{"raw_affiliation_string":"Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101973954","display_name":"Yue Chen","orcid":"https://orcid.org/0000-0001-8157-1662"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Chen","raw_affiliation_strings":["Department of Radiology, China-Japan Friendship Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, China-Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109831307","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-2029-5187"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["Department of Radiology, China-Japan Friendship Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, China-Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101923997","display_name":"Wenwen Gao","orcid":"https://orcid.org/0000-0001-8354-5732"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Gao","raw_affiliation_strings":["Department of Radiology, China-Japan Friendship Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8354-5732","affiliations":[{"raw_affiliation_string":"Department of Radiology, China-Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030234898","display_name":"Guolin Ma","orcid":"https://orcid.org/0000-0002-4044-025X"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolin Ma","raw_affiliation_strings":["Department of Radiology, China-Japan Friendship Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4044-025X","affiliations":[{"raw_affiliation_string":"Department of Radiology, China-Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001212991","display_name":"Baiying Lei","orcid":"https://orcid.org/0000-0002-3087-2550"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["AI Research Center for Medical Image Analysis and Diagnosis, Shenzhen University, Shenzhen, China","Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3087-2550","affiliations":[{"raw_affiliation_string":"AI Research Center for Medical Image Analysis and Diagnosis, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.3056,"has_fulltext":false,"cited_by_count":147,"citation_normalized_percentile":{"value":0.99391264,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"40","issue":"6","first_page":"1618","last_page":"1631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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":0.782507061958313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7042115926742554},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6769818067550659},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.666024923324585},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6638381481170654},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6030310988426208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5962224006652832},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5712350606918335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5062119364738464},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.48997989296913147},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.469265878200531},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4612729549407959},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42072975635528564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36610913276672363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.782507061958313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7042115926742554},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6769818067550659},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.666024923324585},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6638381481170654},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6030310988426208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5962224006652832},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5712350606918335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5062119364738464},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.48997989296913147},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.469265878200531},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4612729549407959},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42072975635528564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36610913276672363},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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":"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008198","descriptor_name":"Lymph Nodes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013274","descriptor_name":"Stomach Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013274","descriptor_name":"Stomach Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013274","descriptor_name":"Stomach Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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.2021.3062902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3062902","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:33646948","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33646948","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":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1321141568","display_name":null,"funder_award_id":"2019A1515111205","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G1781252151","display_name":null,"funder_award_id":"81971585","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2588485453","display_name":null,"funder_award_id":"62006160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2793562968","display_name":null,"funder_award_id":"61801305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2816073044","display_name":"\u57fa\u4e8e\u81ea\u76d1\u7763\u5bf9\u6297\u5b66\u4e60\u7684\u5a74\u5e7c\u513f\u5148\u5fc3\u75c5\u8d85\u58f0\u667a\u80fd\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3364578393","display_name":"\u5f71\u50cf\u57fa\u56e0\u7684\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u4e8e\u963f\u5c14\u8328\u6d77\u9ed8\u75c5\u8bca\u65ad\u548c\u9884\u6d4b\u7684\u591a\u65f6\u95f4\u70b9\u7814\u7a76","funder_award_id":"61871274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6920720253","display_name":null,"funder_award_id":"81771922","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W111214574","https://openalex.org/W1497599070","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1896424170","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2115560616","https://openalex.org/W2126120066","https://openalex.org/W2131006320","https://openalex.org/W2137587467","https://openalex.org/W2158917775","https://openalex.org/W2161692227","https://openalex.org/W2164364459","https://openalex.org/W2165644552","https://openalex.org/W2165966284","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2394599079","https://openalex.org/W2463818697","https://openalex.org/W2549139847","https://openalex.org/W2553191729","https://openalex.org/W2565639579","https://openalex.org/W2618237340","https://openalex.org/W2752782242","https://openalex.org/W2769910914","https://openalex.org/W2774652621","https://openalex.org/W2793117765","https://openalex.org/W2798665804","https://openalex.org/W2884585870","https://openalex.org/W2885048031","https://openalex.org/W2889646458","https://openalex.org/W2899607431","https://openalex.org/W2900237898","https://openalex.org/W2911578927","https://openalex.org/W2913637767","https://openalex.org/W2929753309","https://openalex.org/W2941137223","https://openalex.org/W2942718495","https://openalex.org/W2952234052","https://openalex.org/W2962914239","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2963430933","https://openalex.org/W2963446712","https://openalex.org/W2963604034","https://openalex.org/W2963677766","https://openalex.org/W2963881378","https://openalex.org/W2964227007","https://openalex.org/W2964309882","https://openalex.org/W2964350391","https://openalex.org/W2971032337","https://openalex.org/W2991089415","https://openalex.org/W3008652188","https://openalex.org/W3034514115","https://openalex.org/W3034971973","https://openalex.org/W3101874879","https://openalex.org/W3102875249","https://openalex.org/W3106904274","https://openalex.org/W4211130279","https://openalex.org/W4289743451","https://openalex.org/W6629672220","https://openalex.org/W6630875275","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6683636472","https://openalex.org/W6684671274","https://openalex.org/W6694260854","https://openalex.org/W6738365919","https://openalex.org/W6746123559","https://openalex.org/W6748481559","https://openalex.org/W6753639838","https://openalex.org/W6761274798","https://openalex.org/W6771062828","https://openalex.org/W6786179248"],"related_works":["https://openalex.org/W2237537322","https://openalex.org/W2950678851","https://openalex.org/W3119773509","https://openalex.org/W4301248618","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W2165343651"],"abstract_inverted_index":{"Automatic":[0],"gastric":[1,35,50,78],"tumor":[2,36,79,222,244],"segmentation":[3,80,184,223,234,245],"and":[4,23,37,45,81,97,104,120,124,147,151,167,185,217,224],"lymph":[5],"node":[6],"(LN)":[7],"classification":[8,186],"not":[9],"only":[10],"can":[11,178],"assist":[12],"radiologists":[13],"in":[14,39,246],"reading":[15],"images,":[16],"but":[17],"also":[18,237],"provide":[19],"image-guided":[20],"clinical":[21],"diagnosis":[22,25],"improve":[24],"accuracy.":[26],"However,":[27],"due":[28],"to":[29,56,228,242],"the":[30,42,89,107,214,230,239,250],"inhomogeneous":[31],"intensity":[32],"distribution":[33],"of":[34,49,88,112,142,249],"LN":[38,82,225],"CT":[40,199,247],"scans,":[41],"ambiguous/missing":[43],"boundaries,":[44],"highly":[46],"variable":[47],"shapes":[48],"tumor,":[51],"it":[52],"is":[53,137,259],"quite":[54],"challenging":[55],"develop":[57],"an":[58,197],"automatic":[59],"solution.":[60],"To":[61],"comprehensively":[62],"address":[63],"these":[64],"challenges,":[65],"we":[66,100,236],"propose":[67],"a":[68,163,168],"novel":[69],"3D":[70,174],"multi-attention":[71],"guided":[72],"multi-task":[73,175],"learning":[74,117,128,136,161,176],"network":[75,110,177,241],"for":[76,118,129,221,232],"simultaneous":[77],"classification,":[83],"which":[84],"makes":[85],"full":[86],"use":[87],"complementary":[90],"information":[91],"extracted":[92],"from":[93,203],"different":[94],"dimensions,":[95],"scales,":[96],"tasks.":[98],"Specifically,":[99],"tackle":[101],"task":[102],"correlation":[103],"heterogeneity":[105],"with":[106,139,189],"convolutional":[108],"neural":[109],"consisting":[111],"scale-aware":[113,143],"attention-guided":[114,126,159],"shared":[115,134],"feature":[116,127,135,160],"refined":[119],"universal":[121],"multi-scale":[122],"features,":[123],"task-aware":[125,158],"task-specific":[130],"discriminative":[131],"features.":[132],"This":[133],"equipped":[138],"two":[140,152],"types":[141],"attention":[144,146,165,170],"(visual":[145],"adaptive":[148],"spatial":[149],"attention)":[150],"stage-wise":[153],"deep":[154],"supervision":[155],"paths.":[156],"The":[157,172],"comprises":[162],"segmentation-aware":[164],"module":[166],"classification-aware":[169],"module.":[171],"proposed":[173,240],"balance":[179],"all":[180],"tasks":[181],"by":[182],"combining":[183],"loss":[187],"functions":[188],"weight":[190],"uncertainty.":[191],"We":[192],"evaluate":[193],"our":[194,211],"model":[195],"on":[196],"in-house":[198],"images":[200,248],"dataset":[201],"collected":[202],"three":[204],"medical":[205],"centers.":[206],"Experimental":[207],"results":[208],"demonstrate":[209],"that":[210],"method":[212],"outperforms":[213],"state-of-the-art":[215],"algorithms,":[216],"obtains":[218],"promising":[219],"performance":[220],"classification.":[226],"Moreover,":[227],"explore":[229],"generalization":[231],"other":[233],"tasks,":[235],"extend":[238],"liver":[243],"MICCAI":[251],"2017":[252],"Liver":[253],"Tumor":[254],"Segmentation":[255],"Challenge.":[256],"Our":[257],"implementation":[258],"released":[260],"at":[261],"https://github.com/infinite-tao/MA-MTLN.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}