{"id":"https://openalex.org/W4225418897","doi":"https://doi.org/10.1109/radioelektronika54537.2022.9764909","title":"Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network","display_name":"Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network","publication_year":2022,"publication_date":"2022-04-21","ids":{"openalex":"https://openalex.org/W4225418897","doi":"https://doi.org/10.1109/radioelektronika54537.2022.9764909"},"language":"en","primary_location":{"id":"doi:10.1109/radioelektronika54537.2022.9764909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/radioelektronika54537.2022.9764909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050579174","display_name":"Eva Tuba","orcid":"https://orcid.org/0000-0003-4866-9048"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Eva Tuba","raw_affiliation_strings":["Singidunum University,Belgrade,Serbia","Singidunum University, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singidunum University,Belgrade,Serbia","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006488537","display_name":"Ivana Strumberger","orcid":"https://orcid.org/0000-0002-1154-6696"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ivana Strumberger","raw_affiliation_strings":["Singidunum University,Belgrade,Serbia","Singidunum University, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singidunum University,Belgrade,Serbia","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089614843","display_name":"Ira Tuba","orcid":"https://orcid.org/0000-0002-2863-7084"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ira Tuba","raw_affiliation_strings":["Singidunum University,Belgrade,Serbia","Singidunum University, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singidunum University,Belgrade,Serbia","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064081550","display_name":"Neboj\u0161a Ba\u010danin","orcid":"https://orcid.org/0000-0002-2062-924X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Nebojsa Bacanin","raw_affiliation_strings":["Singidunum University,Belgrade,Serbia","Singidunum University, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singidunum University,Belgrade,Serbia","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067245090","display_name":"Milan Tuba","orcid":"https://orcid.org/0000-0003-3794-3056"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milan Tuba","raw_affiliation_strings":["Singidunum University,Belgrade,Serbia","Singidunum University, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singidunum University,Belgrade,Serbia","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170253739"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"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/T10862","display_name":"AI in cancer detection","score":0.9868000149726868,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9789000153541565,"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/hyperparameter","display_name":"Hyperparameter","score":0.9369808435440063},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8680379986763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7237938046455383},{"id":"https://openalex.org/keywords/lymphoblastic-leukemia","display_name":"Lymphoblastic Leukemia","score":0.6795459389686584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6563771963119507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6526354551315308},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6355712413787842},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5147533416748047},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4926765561103821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36444419622421265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3557036519050598},{"id":"https://openalex.org/keywords/leukemia","display_name":"Leukemia","score":0.12129092216491699}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9369808435440063},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8680379986763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7237938046455383},{"id":"https://openalex.org/C2909962599","wikidata":"https://www.wikidata.org/wiki/Q180664","display_name":"Lymphoblastic Leukemia","level":3,"score":0.6795459389686584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6563771963119507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6526354551315308},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6355712413787842},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5147533416748047},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4926765561103821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36444419622421265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3557036519050598},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.12129092216491699},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/radioelektronika54537.2022.9764909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/radioelektronika54537.2022.9764909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1535723536","https://openalex.org/W1584703815","https://openalex.org/W1722290647","https://openalex.org/W2000897614","https://openalex.org/W2011503872","https://openalex.org/W2035020726","https://openalex.org/W2112796928","https://openalex.org/W2412225190","https://openalex.org/W2506530651","https://openalex.org/W2607631091","https://openalex.org/W2621115394","https://openalex.org/W2752517284","https://openalex.org/W2767445762","https://openalex.org/W2889371044","https://openalex.org/W2896804239","https://openalex.org/W2910206206","https://openalex.org/W2947683354","https://openalex.org/W2954020051","https://openalex.org/W2963562655","https://openalex.org/W2980045158","https://openalex.org/W2983873840","https://openalex.org/W3101294892","https://openalex.org/W4220823775"],"related_works":["https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W3176438653","https://openalex.org/W2770149305"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,10],"networks":[2,11],"(CNNs)":[3],"represent":[4],"a":[5,31,35,65,78,87,94,105],"relatively":[6],"new":[7],"type":[8],"of":[9,68,96],"but":[12],"it":[13,63,76],"has":[14,34],"been":[15],"already":[16],"widely":[17],"used":[18,48],"for":[19,38,50,92,109],"different":[20],"image":[21,39],"classification":[22,42],"problems":[23],"and":[24,41,75,124],"have":[25],"shown":[26],"promising":[27],"results.":[28],"Medicine":[29],"represents":[30,77],"science":[32],"that":[33,62,70],"high":[36],"demand":[37],"processing":[40],"methods.":[43],"In":[44,82],"this":[45,83],"paper,":[46,84],"we":[47,85],"CNN":[49,60,97,120,133],"classifying":[51],"microscopic":[52],"white":[53],"blood":[54],"cell":[55],"images.":[56],"The":[57,99,114,130],"problem":[58],"with":[59,119],"is":[61],"contains":[64],"large":[66],"number":[67],"hyperparameters":[69],"need":[71],"to":[72,139],"be":[73],"tuned":[74],"hard":[79],"optimization":[80],"problem.":[81],"proposed":[86,100,115,131],"bare":[88],"bone":[89],"fireworks":[90],"algorithm":[91],"tuning":[93,123],"subset":[95],"hyperparameters.":[98],"method":[101,116,127,134],"was":[102,117],"tested":[103],"on":[104],"standard":[106],"benchmark":[107],"dataset":[108],"acute":[110],"lymphoblastic":[111],"leukemia":[112],"detection.":[113],"compared":[118,138],"without":[121],"hyperparameter":[122],"optimized":[125,132],"SVM":[126],"from":[128,144],"literature.":[129,146],"achieved":[135],"higher":[136],"accuracy":[137],"the":[140,145],"mentioned":[141],"two":[142],"methods":[143]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
