{"id":"https://openalex.org/W4389639028","doi":"https://doi.org/10.11591/eei.v13i1.6469","title":"A deep learning-based intelligent decision-making model for tumor and cancer cell identification","display_name":"A deep learning-based intelligent decision-making model for tumor and cancer cell identification","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389639028","doi":"https://doi.org/10.11591/eei.v13i1.6469"},"language":"en","primary_location":{"id":"doi:10.11591/eei.v13i1.6469","doi":"https://doi.org/10.11591/eei.v13i1.6469","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/eei.v13i1.6469","pdf_url":"https://beei.org/index.php/EEI/article/download/6469/3564","source":{"id":"https://openalex.org/S2765016208","display_name":"Bulletin of Electrical Engineering and Informatics","issn_l":"2089-3191","issn":["2089-3191","2302-9285"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bulletin of Electrical Engineering and Informatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://beei.org/index.php/EEI/article/download/6469/3564","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102851922","display_name":"Putta Durga","orcid":"https://orcid.org/0000-0002-2318-3327","observed_orcids":["https://orcid.org/0000-0002-2318-3327"]},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":"IN","type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Putta Durga","raw_affiliation_strings":["VIT-AP University"],"raw_orcid":"https://orcid.org/0000-0002-2318-3327","affiliations":[{"raw_affiliation_string":"VIT-AP University","institution_ids":["https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083074675","display_name":"Deepthi Godavarthi","orcid":"https://orcid.org/0000-0003-0712-6899","observed_orcids":["https://orcid.org/0000-0003-0712-6899"]},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":"IN","type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepthi Godavarthi","raw_affiliation_strings":["VIT-AP University"],"raw_orcid":"https://orcid.org/0000-0003-0712-6899","affiliations":[{"raw_affiliation_string":"VIT-AP University","institution_ids":["https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4401726783"],"apc_list":null,"apc_paid":null,"fwci":0.0693,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30347168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":"1","first_page":"510","last_page":"518"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/tumor-cell-detection","display_name":"cancer cell detection","score":0.8629999756813049},{"id":"https://openalex.org/keywords/tumor-detection","display_name":"tumor detection","score":0.8119999766349792},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9539999961853027},{"id":"https://openalex.org/keywords/false-positive-reduction","display_name":"false positive reduction","score":0.7570000290870667},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.6579999923706055}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.687096118927002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6819361448287964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647838950157166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6594122052192688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.598882794380188},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5950073003768921},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5759644508361816},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5596030950546265},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.48004233837127686},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45333701372146606},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24142056703567505},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1212841272354126},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09233719110488892},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/eei.v13i1.6469","doi":"https://doi.org/10.11591/eei.v13i1.6469","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/eei.v13i1.6469","pdf_url":"https://beei.org/index.php/EEI/article/download/6469/3564","source":{"id":"https://openalex.org/S2765016208","display_name":"Bulletin of Electrical Engineering and Informatics","issn_l":"2089-3191","issn":["2089-3191","2302-9285"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bulletin of Electrical Engineering and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/eei.v13i1.6469","doi":"https://doi.org/10.11591/eei.v13i1.6469","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/eei.v13i1.6469","pdf_url":"https://beei.org/index.php/EEI/article/download/6469/3564","source":{"id":"https://openalex.org/S2765016208","display_name":"Bulletin of Electrical Engineering and Informatics","issn_l":"2089-3191","issn":["2089-3191","2302-9285"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bulletin of Electrical Engineering and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389639028.pdf","grobid_xml":"https://content.openalex.org/works/W4389639028.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2525221147","https://openalex.org/W2620740922","https://openalex.org/W2805182940","https://openalex.org/W2883105305","https://openalex.org/W2897755679","https://openalex.org/W2910541852","https://openalex.org/W2921384086","https://openalex.org/W2921483513","https://openalex.org/W2997316188","https://openalex.org/W2998623084","https://openalex.org/W3016017544","https://openalex.org/W3020545570","https://openalex.org/W3036500925","https://openalex.org/W3038476345","https://openalex.org/W3040617750","https://openalex.org/W3044711955","https://openalex.org/W3049587623","https://openalex.org/W3081495241","https://openalex.org/W3087969957","https://openalex.org/W3088873647","https://openalex.org/W3133909080","https://openalex.org/W3183992926","https://openalex.org/W3196081964","https://openalex.org/W3196807348","https://openalex.org/W4206252062","https://openalex.org/W4213442487"],"related_works":["https://openalex.org/W4321369736","https://openalex.org/W7154454778","https://openalex.org/W4392986155","https://openalex.org/W4411409219","https://openalex.org/W3131381401","https://openalex.org/W4320737731","https://openalex.org/W4402594831","https://openalex.org/W4282007170","https://openalex.org/W4416839906","https://openalex.org/W4410099834"],"abstract_inverted_index":{"In":[0],"the":[1,4,66,74,114,130,167],"current":[2,181],"era,":[3],"prevalence":[5],"of":[6,15,41,65,88,99,147],"common":[7],"ailments":[8],"is":[9,123,127],"leading":[10],"to":[11,32,165,178],"an":[12,117,184],"increasing":[13],"number":[14,98],"fatalities.":[16],"Various":[17,154],"infections,":[18],"viruses,":[19],"and":[20,47,93,108,149,161,176],"other":[21],"pathogens":[22],"can":[23,29],"cause":[24],"these":[25,106],"illnesses.":[26],"Some":[27],"illnesses":[28],"give":[30],"rise":[31],"tumors":[33,42],"that":[34],"seriously":[35],"threaten":[36],"human":[37,75,115],"health.":[38],"Distinct":[39],"forms":[40],"exist,":[43],"including":[44],"benign,":[45],"premalignant,":[46],"malignant,":[48],"with":[49,129],"cancer":[50,111,190],"being":[51],"present":[52],"only":[53],"in":[54,188],"malignant":[55],"forms.":[56],"Deep":[57],"learning":[58],"(DL)":[59],"algorithms":[60],"have":[61],"emerged":[62],"as":[63,86],"one":[64],"most":[67],"promising":[68],"methods":[69],"for":[70,82,90,133,145],"detecting":[71,189],"cancers":[72],"within":[73],"body.":[76],"However,":[77],"existing":[78],"models":[79],"face":[80],"criticism":[81],"their":[83],"limitations,":[84],"such":[85],"lack":[87],"support":[89],"large":[91],"datasets,":[92],"reliance":[94],"on":[95],"a":[96],"limited":[97],"attributes":[100],"from":[101],"input":[102],"images.":[103],"To":[104],"address":[105],"limitations":[107],"enable":[109],"efficient":[110],"detection":[112],"throughout":[113],"body,":[116],"intelligent":[118],"decision-making":[119],"approach":[120],"model":[121],"(IDMA)":[122],"proposed.":[124],"The":[125,136,170],"IDMA":[126,137],"combined":[128],"pre-trained":[131],"VGG19":[132],"improved":[134],"training.":[135],"analyses":[138],"convolutional":[139],"neural":[140],"network":[141],"(CNN)":[142],"layer":[143],"images":[144],"signs":[146],"malignancy":[148],"rules":[150],"out":[151],"false":[152],"positives.":[153],"performance":[155],"indicators,":[156],"like":[157],"sensitivity,":[158],"precision,":[159],"recall,":[160],"F1-score,":[162],"are":[163],"used":[164],"assess":[166],"system's":[168],"performance.":[169],"suggested":[171],"system":[172],"has":[173],"been":[174],"evaluated":[175],"proven":[177],"outperform":[179],"similar":[180],"systems,":[182],"achieving":[183],"impressive":[185],"98.67%":[186],"accuracy":[187],"cells.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-12-13T00:00:00"}