{"id":"https://openalex.org/W2965889308","doi":"https://doi.org/10.1109/iwssip.2019.8787315","title":"Volumetrie Data Augmentation as an Effective Tool in MRI Classification Using 3D Convolutional Neural Network","display_name":"Volumetrie Data Augmentation as an Effective Tool in MRI Classification Using 3D Convolutional Neural Network","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2965889308","doi":"https://doi.org/10.1109/iwssip.2019.8787315","mag":"2965889308"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2019.8787315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2019.8787315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5077258129","display_name":"Matej Kompanek","orcid":null},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Matej Kompanek","raw_affiliation_strings":["Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062173944","display_name":"Martin Tamajka","orcid":"https://orcid.org/0000-0002-0107-6459"},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Martin Tamajka","raw_affiliation_strings":["Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042086801","display_name":"Wanda Bene\u0161ov\u00e1","orcid":"https://orcid.org/0000-0001-6929-9694"},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Wanda Benesova","raw_affiliation_strings":["Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110757952"],"apc_list":null,"apc_paid":null,"fwci":0.4575,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7036587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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/overfitting","display_name":"Overfitting","score":0.8407425284385681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7939097881317139},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7904603481292725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081571817398071},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5501136779785156},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.541944146156311},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5304167866706848},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5299602150917053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.529721200466156},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.526566743850708},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.503201425075531},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.47161155939102173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4464612603187561},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4270825982093811},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.42426615953445435}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8407425284385681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939097881317139},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7904603481292725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081571817398071},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5501136779785156},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.541944146156311},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5304167866706848},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5299602150917053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.529721200466156},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.526566743850708},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.503201425075531},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.47161155939102173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4464612603187561},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4270825982093811},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.42426615953445435},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip.2019.8787315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2019.8787315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W281036081","https://openalex.org/W1521781547","https://openalex.org/W1522301498","https://openalex.org/W1550721541","https://openalex.org/W1892035143","https://openalex.org/W1904365287","https://openalex.org/W2054540100","https://openalex.org/W2071881327","https://openalex.org/W2145661921","https://openalex.org/W2146089088","https://openalex.org/W2163605009","https://openalex.org/W2413582275","https://openalex.org/W2582180708","https://openalex.org/W2604296437","https://openalex.org/W2775795276","https://openalex.org/W2793804994","https://openalex.org/W2890950418","https://openalex.org/W2950651700","https://openalex.org/W2964121744","https://openalex.org/W2964171289","https://openalex.org/W3100125480","https://openalex.org/W3102185977","https://openalex.org/W4211050998","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6640036494","https://openalex.org/W6684191040","https://openalex.org/W6736161267","https://openalex.org/W6747218270"],"related_works":["https://openalex.org/W4298017035","https://openalex.org/W3110700750","https://openalex.org/W2792147139","https://openalex.org/W2998675825","https://openalex.org/W4226354336","https://openalex.org/W3128220493","https://openalex.org/W2736804899","https://openalex.org/W2897443685","https://openalex.org/W4307654087","https://openalex.org/W2951100320"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"become":[3],"a":[4,55,71,93,103,183],"default":[5],"choice":[6],"for":[7,25,160],"many":[8],"researchers":[9],"in":[10,29,51,182],"the":[11,23,30,37,42,47,52,60,112,115,130,167],"areas":[12],"of":[13,18,22,32,41,46,54,62,96,106,114,170],"prediction":[14],"and":[15,39,150,153],"automatic":[16,34],"diagnostics":[17,35],"different":[19,127],"diseases.":[20],"One":[21,45],"prerequisites":[24],"achieving":[26],"good":[27],"results":[28],"domain":[31,53],"an":[33],"is":[36,59],"size":[38],"quality":[40],"training":[43],"set.":[44],"most":[48],"serious":[49],"challenges":[50],"medical":[56],"image":[57],"analysis":[58,95],"lack":[61],"manually":[63],"annotated":[64],"data.":[65],"In":[66],"this":[67],"work,":[68],"we":[69,99,177],"use":[70,102],"relatively":[72],"simple":[73],"convolutional":[74],"neural":[75,117,132],"network":[76,118,133],"to":[77,101,110,146],"classify":[78],"MRI":[79],"images":[80],"as":[81],"either":[82],"cognitively":[83],"normal":[84],"or":[85],"those":[86],"suffering":[87],"from":[88],"Alzheimer's":[89],"disease.":[90],"Based":[91],"on":[92],"quantitative":[94],"multiple":[97],"techniques,":[98,172],"propose":[100],"specific":[104,145,159],"set":[105,169],"data":[107,139,148,157],"augmentation":[108,158,171],"techniques":[109],"improve":[111],"generalization":[113],"deep":[116],"model.":[119,186],"The":[120],"proposed":[121,168],"approach":[122,136],"was":[123],"compared":[124],"with":[125,137,142,155],"three":[126],"approaches":[128],"using":[129,166],"same":[131],"-":[134],"one":[135,141,154],"no":[138],"augmentation,":[140],"regularization":[143],"not":[144],"visual":[147],"(dropout":[149],"weight":[151],"decay)":[152],"extensive":[156],"images.":[161],"We":[162],"conclude":[163],"that":[164],"by":[165],"including":[173],"novel":[174],"perturbed":[175],"normalization,":[176],"postponed":[178],"overfitting,":[179],"which":[180],"resulted":[181],"better":[184],"generalized":[185]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}