{"id":"https://openalex.org/W2944539652","doi":"https://doi.org/10.1109/access.2019.2914873","title":"Attention Dense-U-Net for Automatic Breast Mass Segmentation in Digital Mammogram","display_name":"Attention Dense-U-Net for Automatic Breast Mass Segmentation in Digital Mammogram","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944539652","doi":"https://doi.org/10.1109/access.2019.2914873","mag":"2944539652"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914873","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708192.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708192.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638587","display_name":"Shuyi Li","orcid":"https://orcid.org/0000-0001-6264-9006"},"institutions":[{"id":"https://openalex.org/I4210163873","display_name":"Zhengzhou University of Industrial Technology","ror":"https://ror.org/05es8as59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163873"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyi Li","raw_affiliation_strings":["Institute of Industrial Technology, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Technology, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210163873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778768","display_name":"Min Dong","orcid":"https://orcid.org/0000-0001-7758-7856"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"funder","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Dong","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011940105","display_name":"Guangming Du","orcid":"https://orcid.org/0000-0001-8052-3298"},"institutions":[{"id":"https://openalex.org/I4210163873","display_name":"Zhengzhou University of Industrial Technology","ror":"https://ror.org/05es8as59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163873"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Du","raw_affiliation_strings":["Institute of Industrial Technology, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Technology, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210163873"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108473994","display_name":"Xiaomin Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"funder","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Mu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":11.823,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":155,"citation_normalized_percentile":{"value":0.999973,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"59037","last_page":"59047"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9969,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital Mammography","score":0.5120142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80379343},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.77245235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984108},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5695896},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.53137964},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.5120142},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49496025},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4859096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4624178},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.45754832},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.39856556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3473462},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.11120081},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08322507},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914873","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708192.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/08ee558670c34e4ca8c9d0892ca65a3b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914873","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708192.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.87,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W1742988325","https://openalex.org/W177004468","https://openalex.org/W1901129140","https://openalex.org/W1972626213","https://openalex.org/W2024124973","https://openalex.org/W2059902090","https://openalex.org/W2106596998","https://openalex.org/W2133564696","https://openalex.org/W2151281402","https://openalex.org/W2167510172","https://openalex.org/W2294923432","https://openalex.org/W2395611524","https://openalex.org/W2444503012","https://openalex.org/W2493683088","https://openalex.org/W2594151429","https://openalex.org/W2607363228","https://openalex.org/W2616243479","https://openalex.org/W2682880626","https://openalex.org/W2754103191","https://openalex.org/W2762481118","https://openalex.org/W2766428274","https://openalex.org/W2766486317","https://openalex.org/W2770114997","https://openalex.org/W2772978751","https://openalex.org/W2776559369","https://openalex.org/W2783710041","https://openalex.org/W2789629667","https://openalex.org/W2792023360","https://openalex.org/W2793938489","https://openalex.org/W2798122215","https://openalex.org/W2883311907","https://openalex.org/W2911027460","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2964189376"],"related_works":["https://openalex.org/W54977395","https://openalex.org/W3197491245","https://openalex.org/W2557931800","https://openalex.org/W2144299087","https://openalex.org/W2116047071","https://openalex.org/W2000845075","https://openalex.org/W1993531705","https://openalex.org/W1990413141","https://openalex.org/W1966034269","https://openalex.org/W1766776469"],"abstract_inverted_index":{"Breast":[0],"mass":[1,92],"is":[2,21,37,74,94,114,123,134],"one":[3],"of":[4,12,19,27,58,126,164],"the":[5,10,16,25,33,44,121,124,137,162,165],"most":[6],"distinctive":[7],"signs":[8],"for":[9,23,39,76,90,143],"diagnosis":[11],"breast":[13,28,91],"cancer,":[14],"and":[15,31,109,120,139,155,186],"accurate":[17],"segmentation":[18,49,72,93,179],"masses":[20],"critical":[22],"improving":[24],"accuracy":[26,157],"cancer":[29],"detection":[30],"reducing":[32],"mortality":[34],"rate.":[35],"It":[36,105],"time-consuming":[38],"a":[40,64,82,110,115],"physician":[41],"to":[42,63,160],"review":[43],"film.":[45],"Besides,":[46],"traditional":[47],"medical":[48],"techniques":[50],"often":[51,61],"require":[52],"prior":[53],"knowledge":[54],"or":[55],"manual":[56],"extraction":[57],"features,":[59],"which":[60,96],"lead":[62],"subjective":[65],"diagnosis.":[66],"Therefore,":[67],"developing":[68],"an":[69,107],"automatic":[70,84],"image":[71],"method":[73,85,133],"important":[75],"clinical":[77],"application.":[78],"In":[79],"this":[80],"paper,":[81],"fully":[83],"based":[86],"on":[87,136],"deep":[88],"learning":[89],"proposed,":[95],"combines":[97],"densely":[98,116],"connected":[99,117],"U-Net":[100,127,174],"with":[101,129],"attention":[102,183],"gates":[103],"(AGs).":[104],"contains":[106],"encoder":[108,113],"decoder.":[111],"The":[112,131,168],"convolutional":[118],"network":[119],"decoder":[122,125],"integrated":[128,175],"AGs.":[130],"proposed":[132,166],"tested":[135],"public":[138],"authoritative":[140],"database-Digital":[141],"Database":[142],"Screening":[144],"Mammography":[145],"(DDSM)":[146],"database.":[147],"F1-score,":[148],"mean":[149],"intersection":[150],"over":[151],"union,":[152],"sensitivity,":[153],"specificity,":[154],"overall":[156],"are":[158],"used":[159],"evaluate":[161],"effectiveness":[163],"method.":[167],"experimental":[169],"results":[170,180],"show":[171],"that":[172],"dense":[173],"AGs":[176],"achieve":[177],"better":[178],"than":[181],"U-Net,":[182,184],"DenseNet,":[185],"state-of-the-art":[187],"methods.":[188]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2944539652","counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-04-29T05:27:48.609172","created_date":"2019-05-16"}