{"id":"https://openalex.org/W3216844595","doi":"https://doi.org/10.1109/icstcc52150.2021.9607260","title":"Fusing Convolutional Neural Networks with Segmentation for Brain Tumor Classification","display_name":"Fusing Convolutional Neural Networks with Segmentation for Brain Tumor Classification","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3216844595","doi":"https://doi.org/10.1109/icstcc52150.2021.9607260","mag":"3216844595"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc52150.2021.9607260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc52150.2021.9607260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","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/A5085283008","display_name":"Lavinia Ferariu","orcid":"https://orcid.org/0000-0001-5758-6696"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Lavinia Ferariu","raw_affiliation_strings":["Gheorghe Asachi Technical University of Iasi, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050936153","display_name":"Emil - Daniel Neculau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Emil - Daniel Neculau","raw_affiliation_strings":["Gheorghe Asachi Technical University of Iasi, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085283008"],"corresponding_institution_ids":["https://openalex.org/I4210108695"],"apc_list":null,"apc_paid":null,"fwci":0.2728,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56553955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"249","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8163024187088013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7917613387107849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702583074569702},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.681233286857605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6462618112564087},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5269691944122314},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5080890655517578},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.501899242401123},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4652731120586395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4436849355697632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38888996839523315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3098272681236267}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8163024187088013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7917613387107849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702583074569702},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.681233286857605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6462618112564087},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5269691944122314},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5080890655517578},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.501899242401123},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4652731120586395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4436849355697632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38888996839523315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3098272681236267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc52150.2021.9607260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc52150.2021.9607260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","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":26,"referenced_works":["https://openalex.org/W2087291011","https://openalex.org/W2118246710","https://openalex.org/W2187181723","https://openalex.org/W2295107390","https://openalex.org/W2531806530","https://openalex.org/W2557283755","https://openalex.org/W2580480204","https://openalex.org/W2618530766","https://openalex.org/W2752060020","https://openalex.org/W2900355025","https://openalex.org/W2940876489","https://openalex.org/W2970546341","https://openalex.org/W2983817809","https://openalex.org/W2990392801","https://openalex.org/W2999247481","https://openalex.org/W3002769598","https://openalex.org/W3007755486","https://openalex.org/W3015764181","https://openalex.org/W3045676091","https://openalex.org/W3091791645","https://openalex.org/W3093908372","https://openalex.org/W3096244759","https://openalex.org/W3101310341","https://openalex.org/W3120897110","https://openalex.org/W4386300382","https://openalex.org/W6697443983"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W4323287533","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661"],"abstract_inverted_index":{"Early":[0],"diagnosis":[1],"is":[2,76,86,101],"crucial":[3],"for":[4,43,126],"treating":[5],"cerebral":[6],"cancer.":[7],"Significant":[8],"progress":[9],"has":[10],"been":[11],"made":[12],"using":[13],"noninvasive":[14],"imaging":[15],"methods":[16,57],"combined":[17],"with":[18,68,135],"convolutional":[19],"neural":[20,142],"networks":[21],"(CNN).":[22],"Primarily,":[23],"CNNs":[24],"can":[25,40],"extract":[26],"relevant":[27,111],"features":[28],"from":[29,81],"medical":[30,48],"images,":[31],"without":[32],"requesting":[33],"preliminary":[34],"segmentations.":[35],"However,":[36],"additional":[37],"ready-to-use":[38,90],"information":[39],"be":[41],"helpful":[42],"improving":[44],"the":[45,94,109,127,131,136,140],"accuracy":[46],"of":[47,71,93],"diagnostics.":[49],"This":[50],"paper":[51],"compares":[52],"different":[53],"brain":[54],"tumor":[55],"classification":[56,124],"based":[58],"on":[59],"CNNs.":[60],"The":[61,97,119],"proposed":[62],"configurations":[63,128],"consider":[64],"an":[65],"input-level":[66],"fusion":[67],"two":[69],"types":[70],"segmentation":[72],"methods.":[73],"One":[74],"map":[75],"obtained":[77],"via":[78],"region-growing":[79],"technique,":[80],"super-pixel":[82],"partition;":[83],"its":[84],"role":[85],"to":[87],"provide":[88],"a":[89,102,115],"simplified":[91],"layout":[92],"MRI":[95,133],"scan.":[96],"other":[98],"segmented":[99,137],"image":[100],"Class":[103],"Activation":[104],"Map":[105],"(CAM),":[106],"which":[107],"incorporates":[108],"most":[110],"knowledge":[112],"gained":[113],"by":[114],"previously":[116],"trained":[117],"CNN.":[118],"experimental":[120],"results":[121],"indicate":[122],"improved":[123],"performance":[125],"that":[129],"combine":[130],"original":[132],"scan":[134],"images":[138],"into":[139],"input":[141],"arrays.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
