{"id":"https://openalex.org/W3122741953","doi":"https://doi.org/10.1142/s0219467821400039","title":"Different CNN-based Architectures for Detection of Invasive Ductal Carcinoma in Breast Using Histopathology Images","display_name":"Different CNN-based Architectures for Detection of Invasive Ductal Carcinoma in Breast Using Histopathology Images","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3122741953","doi":"https://doi.org/10.1142/s0219467821400039","mag":"3122741953"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821400039","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821400039","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5101728552","display_name":"Isha Gupta","orcid":"https://orcid.org/0000-0003-0833-7786"},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Isha Gupta","raw_affiliation_strings":["Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India"],"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078742860","display_name":"Sheifali Gupta","orcid":"https://orcid.org/0000-0001-5692-418X"},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheifali Gupta","raw_affiliation_strings":["Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India"],"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063365061","display_name":"Swati Singh","orcid":"https://orcid.org/0000-0001-7420-9438"},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Swati Singh","raw_affiliation_strings":["Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India"],"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India","institution_ids":["https://openalex.org/I74319210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063365061"],"corresponding_institution_ids":["https://openalex.org/I74319210"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57752311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"05","first_page":null,"last_page":null},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9624000191688538,"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":0.9517999887466431,"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/histopathology","display_name":"Histopathology","score":0.884276270866394},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.743705689907074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6770656704902649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5845819711685181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5583838820457458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48705223202705383},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.2667926549911499},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1225191056728363}],"concepts":[{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.884276270866394},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.743705689907074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6770656704902649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845819711685181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5583838820457458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48705223202705383},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2667926549911499},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1225191056728363}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821400039","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821400039","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1519122895","https://openalex.org/W1970120446","https://openalex.org/W2122394460","https://openalex.org/W2132031490","https://openalex.org/W2169961966","https://openalex.org/W2240504034","https://openalex.org/W2315817934","https://openalex.org/W2323169434","https://openalex.org/W2394599079","https://openalex.org/W2401520370","https://openalex.org/W2554892747","https://openalex.org/W2605850958","https://openalex.org/W2753311165","https://openalex.org/W2996203718"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W3133861977","https://openalex.org/W4321369474","https://openalex.org/W4360585206"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"many":[3],"improvements":[4],"have":[5,30],"been":[6],"made":[7],"in":[8,41,68,78,108,131,154],"image":[9,37,43,80],"processing":[10,38],"techniques":[11],"which":[12,81,96,120],"aid":[13],"pathologists":[14],"to":[15,51,59,144],"identify":[16,145],"cancer":[17,86],"cells.":[18],"Nowadays,":[19],"convolutional":[20],"neural":[21,177],"networks":[22,178],"(CNNs),":[23],"also":[24],"known":[25],"as":[26,85],"deep":[27,83,155,175],"learning":[28],"algorithms":[29],"become":[31],"popular":[32],"for":[33,174],"the":[34,53,111,132,141,159],"applications":[35],"of":[36,55,61,72,88,94,117,140],"and":[39,45,66,127,165],"examination":[40,84],"histopathology":[42,56,79,136,148],"(tissue":[44],"cell":[46],"images).":[47],"This":[48],"study":[49,113,142],"aims":[50],"present":[52],"detection":[54,60,71],"images":[57,149],"associated":[58],"invasive":[62],"ductal":[63],"carcinoma":[64],"(IDC)":[65],"non-IDC":[67],"breast.":[69],"However,":[70],"IDC":[73,134,146],"is":[74,121,143],"a":[75,92],"challenging":[76],"task":[77],"needs":[82],"comprises":[87],"minor":[89],"entities":[90],"with":[91,102,158],"diversity":[93],"forms":[95],"can":[97],"be":[98],"easily":[99],"mixed":[100],"up":[101],"different":[103],"objects":[104],"or":[105],"facts":[106],"contained":[107],"image.":[109],"Hence,":[110],"proposed":[112],"suggests":[114],"three":[115],"types":[116],"CNN":[118],"architectures":[119],"called":[122],"8-layer":[123],"CNNs,":[124,129],"9-layer":[125],"CNNs":[126,157],"19-layer":[128,182],"respectively,":[130],"detecting":[133],"using":[135,181],"images.":[137],"The":[138,169],"purpose":[139],"from":[147],"by":[150,180],"taking":[151],"proper":[152],"layer":[153,156],"maximum":[160],"accuracy,":[161],"highest":[162],"sensitivity,":[163],"precision":[164],"least":[166],"classification":[167],"error.":[168],"result":[170],"shows":[171],"better":[172],"performance":[173],"layer-convolutional":[176],"architecture":[179],"CNNs.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}