{"id":"https://openalex.org/W4390225956","doi":"https://doi.org/10.1145/3631991.3632045","title":"Mitosis Detection in Breast Cancer Using Deep Learning","display_name":"Mitosis Detection in Breast Cancer Using Deep Learning","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4390225956","doi":"https://doi.org/10.1145/3631991.3632045"},"language":"en","primary_location":{"id":"doi:10.1145/3631991.3632045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3631991.3632045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 5th World Symposium on Software Engineering (WSSE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5041974099","display_name":"Mary Jane C. Samonte","orcid":"https://orcid.org/0000-0001-9867-8722"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Mary Jane C. Samonte","raw_affiliation_strings":["Mapua University, Philippines"],"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057469054","display_name":"\u8b19\u4ec1 \u6e21\u8fba","orcid":"https://orcid.org/0000-0002-4757-2538"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Qian Bian","raw_affiliation_strings":["Mapua University, Philippines"],"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101895880","display_name":"Zhenduo Wang","orcid":"https://orcid.org/0000-0003-0369-5904"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Zhenduo Wang","raw_affiliation_strings":["Mapua University, Philippines"],"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080991588","display_name":"Chen Xiao-fan","orcid":"https://orcid.org/0000-0003-4898-2245"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Xiaofan Chen","raw_affiliation_strings":["Mapua University, Philippines"],"affiliations":[{"raw_affiliation_string":"Mapua University, Philippines","institution_ids":["https://openalex.org/I137967721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041974099"],"corresponding_institution_ids":["https://openalex.org/I137967721"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59123276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7601858377456665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7088434100151062},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6573984026908875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485933065414429},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5644733905792236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46317559480667114},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4624614417552948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4096910059452057},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.37447813153266907},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16587316989898682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08453238010406494},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08339354395866394}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7601858377456665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088434100151062},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6573984026908875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485933065414429},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5644733905792236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46317559480667114},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4624614417552948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4096910059452057},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.37447813153266907},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16587316989898682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08453238010406494},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08339354395866394},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3631991.3632045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3631991.3632045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 5th World Symposium on Software Engineering (WSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5799999833106995,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2026893473","https://openalex.org/W2057114171","https://openalex.org/W2193145675","https://openalex.org/W2529099292","https://openalex.org/W2570343428","https://openalex.org/W2952935478","https://openalex.org/W2953106684","https://openalex.org/W2962766617","https://openalex.org/W2962793691","https://openalex.org/W2963150697","https://openalex.org/W3011178854","https://openalex.org/W3086436251","https://openalex.org/W3104778224","https://openalex.org/W3106250896","https://openalex.org/W3113759164","https://openalex.org/W3119888351","https://openalex.org/W3131525335","https://openalex.org/W3132342445","https://openalex.org/W3137837451","https://openalex.org/W3138200812","https://openalex.org/W3196418387","https://openalex.org/W4205156216","https://openalex.org/W4223634546","https://openalex.org/W4293222257","https://openalex.org/W4293584584","https://openalex.org/W4304191739"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,13,17,34],"is":[2,14,38],"a":[3,16,57],"common":[4],"gynecological":[5],"malignant":[6],"tumor.":[7],"At":[8],"the":[9,64,76,88,102,111,123,136,144,148],"same":[10],"time,":[11],"breast":[12,33,84,97],"also":[15],"that":[18,122],"can":[19,141],"be":[20],"detected":[21],"early":[22],"and":[23,36],"prevented":[24],"early.":[25],"Using":[26],"efficient":[27],"mitotic":[28,79],"cell":[29,47,80,92],"detection":[30,48,66,81,93,105,139],"technology":[31,45],"for":[32],"screening":[35],"diagnosis":[37],"significant.":[39],"The":[40],"application":[41],"of":[42,78,104,113,118],"computer-aided":[43],"analysis":[44],"to":[46,75,135],"tasks":[49],"in":[50,82,95,131],"pathological":[51,83,96],"medical":[52],"images":[53],"has":[54],"gradually":[55],"become":[56],"hot":[58],"research":[59],"direction.":[60],"In":[61],"this":[62,99,132],"study,":[63],"object":[65],"technique":[67],"based":[68,127],"on":[69,107,128,147],"YOLO":[70,137],"v5":[71,138],"was":[72],"first":[73],"applied":[74,134],"field":[77],"images.":[85],"Aiming":[86],"at":[87],"three":[89],"difficult":[90],"problems":[91],"faces":[94],"images,":[98],"paper":[100],"explores":[101],"influence":[103],"models":[106],"domain":[108],"generalization":[109],"from":[110],"perspective":[112],"image":[114],"preprocessing.":[115],"A":[116],"series":[117],"experimental":[119],"studies":[120],"show":[121],"color":[124],"correction":[125],"strategy":[126],"CycleGAN":[129],"adopted":[130],"study":[133],"model":[140],"effectively":[142],"improve":[143],"model's":[145],"applicability":[146],"external":[149],"test":[150],"set.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}