{"id":"https://openalex.org/W4399885365","doi":"https://doi.org/10.1145/3653946.3653968","title":"Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example","display_name":"Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4399885365","doi":"https://doi.org/10.1145/3653946.3653968"},"language":"en","primary_location":{"id":"doi:10.1145/3653946.3653968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653946.3653968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Machine Vision and Applications","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/A5055797970","display_name":"Mingxuan Xiao","orcid":"https://orcid.org/0009-0006-1263-5152"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingxuan Xiao","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0006-1263-5152","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039331114","display_name":"Y Li","orcid":"https://orcid.org/0009-0000-7139-5722"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yufeng Li","raw_affiliation_strings":["School of Electronics and Computer Science, University of Southampton, UK"],"raw_orcid":"https://orcid.org/0009-0000-7139-5722","affiliations":[{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036110201","display_name":"Xu Yan","orcid":"https://orcid.org/0009-0004-6587-1410"},"institutions":[{"id":"https://openalex.org/I165075387","display_name":"Trine University","ror":"https://ror.org/038e0dv78","country_code":"US","type":"education","lineage":["https://openalex.org/I165075387"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu Yan","raw_affiliation_strings":["College of Graduate and Professional Studies, Trine University, USA"],"raw_orcid":"https://orcid.org/0009-0004-6587-1410","affiliations":[{"raw_affiliation_string":"College of Graduate and Professional Studies, Trine University, USA","institution_ids":["https://openalex.org/I165075387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069107358","display_name":"Min Gao","orcid":"https://orcid.org/0009-0005-2109-897X"},"institutions":[{"id":"https://openalex.org/I165075387","display_name":"Trine University","ror":"https://ror.org/038e0dv78","country_code":"US","type":"education","lineage":["https://openalex.org/I165075387"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Gao","raw_affiliation_strings":["College of Graduate and Professional Studies, Trine University, USA"],"raw_orcid":"https://orcid.org/0009-0005-2109-897X","affiliations":[{"raw_affiliation_string":"College of Graduate and Professional Studies, Trine University, USA","institution_ids":["https://openalex.org/I165075387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068567313","display_name":"Weimin Wang","orcid":"https://orcid.org/0009-0000-9094-0474"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weimin Wang","raw_affiliation_strings":["School of Engineering, The Hong Kong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-9094-0474","affiliations":[{"raw_affiliation_string":"School of Engineering, The Hong Kong University of Science and Technology, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055797970"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":32.9536,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99815462,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9884999990463257,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9488999843597412,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.824535608291626},{"id":"https://openalex.org/keywords/cytopathology","display_name":"Cytopathology","score":0.7893224954605103},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.657217264175415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5565161108970642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5354554653167725},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5071957111358643},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43647801876068115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4098307490348816},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3284000754356384},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.24107491970062256},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1393229365348816},{"id":"https://openalex.org/keywords/cytology","display_name":"Cytology","score":0.0875328779220581}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.824535608291626},{"id":"https://openalex.org/C2778654104","wikidata":"https://www.wikidata.org/wiki/Q1881849","display_name":"Cytopathology","level":3,"score":0.7893224954605103},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.657217264175415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5565161108970642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5354554653167725},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5071957111358643},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43647801876068115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4098307490348816},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3284000754356384},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.24107491970062256},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1393229365348816},{"id":"https://openalex.org/C18823058","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cytology","level":2,"score":0.0875328779220581}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3653946.3653968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653946.3653968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Machine Vision and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-142361","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-142361","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4399999976158142},{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2148309496","https://openalex.org/W2609584387","https://openalex.org/W2771292748","https://openalex.org/W2890655214","https://openalex.org/W3012814620","https://openalex.org/W3133274814","https://openalex.org/W4220853531","https://openalex.org/W4300646337","https://openalex.org/W4313187652","https://openalex.org/W4386076238","https://openalex.org/W4386765220","https://openalex.org/W4387885947","https://openalex.org/W4391181727","https://openalex.org/W4391953434"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3110181002","https://openalex.org/W3106184124","https://openalex.org/W4396645614","https://openalex.org/W3144903749","https://openalex.org/W4234646932","https://openalex.org/W4386784290","https://openalex.org/W2792753996","https://openalex.org/W2765463450","https://openalex.org/W2002697824"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,6,27],"is":[2,150],"a":[3,108,129],"relatively":[4],"common":[5],"among":[7],"gynecological":[8],"cancers.":[9],"Its":[10],"diagnosis":[11,24],"often":[12],"relies":[13],"on":[14,46,182],"the":[15,20,42,50,71,80,88,91,115,138,145,158,162,183,206,211],"pathology":[16],"of":[17,25,44,53,74,82,96,147,165,217],"cells":[18],"in":[19,188,213],"lesion.":[21],"The":[22,104],"pathological":[23,57,75,84,97,126,215],"breast":[26,56,83,218],"not":[28],"only":[29],"requires":[30],"professionals":[31],"and":[32,49,93,101,118,136,176,201],"time,":[33],"but":[34],"also":[35],"sometimes":[36],"involves":[37,106],"subjective":[38],"judgment.":[39],"To":[40,156],"address":[41],"challenges":[43],"dependence":[45],"pathologists":[47],"expertise":[48],"time-consuming":[51],"nature":[52],"achieving":[54],"accurate":[55],"image":[58,85,142,148,167],"classification,":[59],"this":[60],"paper":[61],"introduces":[62],"an":[63],"approach":[64,89],"utilizing":[65,107],"convolutional":[66,109],"neural":[67,110,130],"networks":[68],"(CNNs)":[69],"for":[70,122,141],"rapid":[72,92],"categorization":[73],"images,":[76],"aiming":[77],"to":[78,152],"enhance":[79],"efficiency":[81],"detection.":[86],"And":[87],"enables":[90],"automatic":[94],"classification":[95,160,163],"images":[98,216],"into":[99],"benign":[100],"malignant":[102],"groups.":[103],"methodology":[105],"network":[111,131],"(CNN)":[112],"model":[113],"leveraging":[114],"Inceptionv3":[116],"architecture":[117],"transfer":[119],"learning":[120],"algorithm":[121],"extracting":[123],"features":[124],"from":[125],"images.":[127,155],"Utilizing":[128],"with":[132],"fully":[133],"connected":[134],"layers":[135],"employing":[137],"SoftMax":[139],"function":[140],"classification.":[143],"Additionally,":[144],"concept":[146],"partitioning":[149],"introduced":[151],"handle":[153],"high-resolution":[154],"achieve":[157],"ultimate":[159],"outcome,":[161],"probabilities":[164],"each":[166],"block":[168],"are":[169],"aggregated":[170],"using":[171],"three":[172],"algorithms:":[173],"summation,":[174],"product,":[175],"maximum.":[177],"Experimental":[178],"validation":[179],"was":[180],"conducted":[181],"BreaKHis":[184],"public":[185],"dataset,":[186],"resulting":[187],"accuracy":[189,212],"rates":[190],"surpassing":[191],"0.92":[192],"across":[193],"all":[194],"four":[195],"magnification":[196],"coefficients":[197],"(40X,":[198],"100X,":[199],"200X,":[200],"400X).":[202],"It":[203],"demonstrates":[204],"that":[205],"proposed":[207],"method":[208],"effectively":[209],"enhances":[210],"classifying":[214],"cancer.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":62}],"updated_date":"2026-05-26T13:28:51.108037","created_date":"2025-10-10T00:00:00"}