{"id":"https://openalex.org/W3111325699","doi":"https://doi.org/10.1109/jbhi.2020.3043236","title":"Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis","display_name":"Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis","publication_year":2020,"publication_date":"2020-12-08","ids":{"openalex":"https://openalex.org/W3111325699","doi":"https://doi.org/10.1109/jbhi.2020.3043236","mag":"3111325699","pmid":"https://pubmed.ncbi.nlm.nih.gov/33290235"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2020.3043236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3043236","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5069257540","display_name":"Bingsheng Huang","orcid":"https://orcid.org/0000-0002-1183-7506"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingsheng Huang","raw_affiliation_strings":["Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junru Tian","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junru Tian","raw_affiliation_strings":["Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666938","display_name":"Hongyuan Zhang","orcid":"https://orcid.org/0000-0002-0657-1862"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyuan Zhang","raw_affiliation_strings":["Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016938698","display_name":"Zixin Luo","orcid":"https://orcid.org/0000-0001-6946-2826"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixin Luo","raw_affiliation_strings":["Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical AI Lab, School of Biomedical Engineering, 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, Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2961-0860","affiliations":[{"raw_affiliation_string":"Centre for Smart Health, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101542599","display_name":"Chen Huang","orcid":"https://orcid.org/0000-0002-5707-7063"},"institutions":[{"id":"https://openalex.org/I4210124657","display_name":"Panyu District Central Hospital","ror":"https://ror.org/02wwftm12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Huang","raw_affiliation_strings":["Panyu Central Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Panyu Central Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210124657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101752343","display_name":"Xueping He","orcid":"https://orcid.org/0000-0002-6289-1115"},"institutions":[{"id":"https://openalex.org/I4210124657","display_name":"Panyu District Central Hospital","ror":"https://ror.org/02wwftm12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping He","raw_affiliation_strings":["Panyu Central Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Panyu Central Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210124657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013320229","display_name":"Yanji Luo","orcid":"https://orcid.org/0000-0002-8514-020X"},"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":"Yanji Luo","raw_affiliation_strings":["First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"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/A5072878754","display_name":"Yongjin Zhou","orcid":"https://orcid.org/0000-0002-0067-8466"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjin Zhou","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0067-8466","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015789738","display_name":"Dan Guo","orcid":"https://orcid.org/0000-0002-0171-5599"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Dan","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0171-5599","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031913767","display_name":"Hanwei Chen","orcid":"https://orcid.org/0000-0002-9618-542X"},"institutions":[{"id":"https://openalex.org/I4210124657","display_name":"Panyu District Central Hospital","ror":"https://ror.org/02wwftm12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwei Chen","raw_affiliation_strings":["Panyu Central Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Panyu Central Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210124657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007869048","display_name":"Shi\u2010Ting Feng","orcid":"https://orcid.org/0000-0002-0869-7290"},"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":"Shi-Ting Feng","raw_affiliation_strings":["First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0869-7290","affiliations":[{"raw_affiliation_string":"First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210128921","https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022220","display_name":"Chenglang Yuan","orcid":"https://orcid.org/0000-0002-4125-4993"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglang Yuan","raw_affiliation_strings":["Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4125-4993","affiliations":[{"raw_affiliation_string":"Medical AI Lab, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5069257540"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":2.454,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.91573165,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"25","issue":"7","first_page":"2655","last_page":"2664"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9781000018119812,"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/computer-science","display_name":"Computer science","score":0.8151652812957764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7801098823547363},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6657382845878601},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6239848136901855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6208750605583191},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6098718047142029},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5350984334945679},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5282251834869385},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5204218029975891},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49329012632369995},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4392770230770111},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4219478964805603},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.41382667422294617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38490042090415955},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28995490074157715},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19154733419418335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151652812957764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7801098823547363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6657382845878601},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6239848136901855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6208750605583191},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6098718047142029},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5350984334945679},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5282251834869385},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5204218029975891},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49329012632369995},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4392770230770111},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4219478964805603},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.41382667422294617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38490042090415955},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28995490074157715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19154733419418335},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2020.3043236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3043236","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33290235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33290235","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4280353777","display_name":null,"funder_award_id":"61973220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4600834154","display_name":null,"funder_award_id":"81771908","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5723310268","display_name":null,"funder_award_id":"81971684","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G805280747","display_name":null,"funder_award_id":"2020A1515010571","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W390045317","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2097475056","https://openalex.org/W2118858186","https://openalex.org/W2119821739","https://openalex.org/W2127218421","https://openalex.org/W2167955183","https://openalex.org/W2174661749","https://openalex.org/W2194775991","https://openalex.org/W2600642189","https://openalex.org/W2724276442","https://openalex.org/W2751538714","https://openalex.org/W2763355946","https://openalex.org/W2768259636","https://openalex.org/W2791459212","https://openalex.org/W2801458876","https://openalex.org/W2806717565","https://openalex.org/W2890238129","https://openalex.org/W2900734487","https://openalex.org/W2906448356","https://openalex.org/W2909339748","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2919845467","https://openalex.org/W2921137012","https://openalex.org/W2943751885","https://openalex.org/W2948446542","https://openalex.org/W2948807949","https://openalex.org/W2955425717","https://openalex.org/W2963446712","https://openalex.org/W2963910535","https://openalex.org/W2964121744","https://openalex.org/W2982725911","https://openalex.org/W2985431718","https://openalex.org/W2991084993","https://openalex.org/W2992715741","https://openalex.org/W2999804490","https://openalex.org/W3010519118","https://openalex.org/W3178782948","https://openalex.org/W4239510810","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6677919164","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W3155717344","https://openalex.org/W1770458422","https://openalex.org/W3128011703"],"abstract_inverted_index":{"Recently,":[0],"an":[1,19,40,82],"emerging":[2],"trend":[3],"in":[4,18,27,180,188,200],"medical":[5],"image":[6],"classification":[7,16,33],"is":[8,25,35,74,138],"to":[9,38,48,55,91,113,140,158,176],"combine":[10],"radiomics":[11,110],"framework":[12,112],"with":[13],"deep":[14,31,106,124,201],"learning":[15],"network":[17,34],"integrated":[20],"system.":[21],"Although":[22],"this":[23,98],"combination":[24],"efficient":[26],"some":[28],"tasks,":[29],"the":[30,50,63,66,71,93,115,123,130,135,146,160,184,194,212,217],"learning-based":[32],"often":[36],"difficult":[37,90],"capture":[39],"effective":[41,83,105],"representation":[42],"of":[43,52,65,120,145,196],"lesion":[44],"regions,":[45],"and":[46,58,104,129,193],"prone":[47],"face":[49],"challenge":[51],"overfitting,":[53],"leading":[54],"unreliable":[56],"features":[57,144,163],"inaccurate":[59],"results,":[60],"especially":[61],"when":[62],"sizes":[64],"lesions":[67,147],"are":[68,173],"small":[69],"or":[70],"training":[72],"dataset":[73],"small.":[75],"In":[76,97],"addition,":[77],"these":[78],"combinations":[79],"mostly":[80],"lack":[81],"feature":[84,95,126,131,154,168],"selection":[85,132,155],"mechanism,":[86],"which":[87,118],"makes":[88],"it":[89],"obtain":[92],"optimal":[94],"selection.":[96],"paper,":[99],"we":[100],"introduce":[101],"a":[102,149,166,221],"novel":[103,167],"semantic":[107,125,143],"segmentation":[108,151],"feature-based":[109],"(DSFR)":[111],"overcome":[114],"above-mentioned":[116],"challenges,":[117],"consists":[119],"two":[121,181],"modules:":[122],"extraction":[127,136],"module":[128,137,156],"module.":[133],"Specifically,":[134],"utilized":[139],"extract":[141],"hierarchical":[142],"from":[148],"trained":[150],"network.":[152],"The":[153],"aims":[157],"select":[159],"most":[161],"representative":[162],"by":[164,220],"using":[165],"similarity":[169],"adaptation":[170],"algorithm.":[171],"Experiments":[172],"extensively":[174],"conducted":[175],"evaluate":[177],"our":[178],"method":[179,214],"clinical":[182],"tasks:":[183],"pathological":[185],"grading":[186],"prediction":[187,195],"pancreatic":[189],"neuroendocrine":[190],"neoplasms":[191],"(pNENs),":[192],"thrombolytic":[197],"therapy":[198],"efficacy":[199],"venous":[202],"thrombosis":[203],"(DVT).":[204],"Experimental":[205],"results":[206],"on":[207],"both":[208],"tasks":[209],"demonstrate":[210],"that":[211],"proposed":[213],"consistently":[215],"outperforms":[216],"state-of-the-art":[218],"approaches":[219],"large":[222],"margin.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}