{"id":"https://openalex.org/W3034071644","doi":"https://doi.org/10.18280/isi.250214","title":"Brain Tumor Detection Using Deep Features in the Latent Space","display_name":"Brain Tumor Detection Using Deep Features in the Latent Space","publication_year":2020,"publication_date":"2020-05-15","ids":{"openalex":"https://openalex.org/W3034071644","doi":"https://doi.org/10.18280/isi.250214","mag":"3034071644"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18280/isi.250214","pdf_url":"https://www.iieta.org/download/file/fid/32515","source":{"id":"https://openalex.org/S1757003","display_name":"Ing\u00e9nierie des syst\u00e8mes d information","issn_l":"1633-1311","issn":["1633-1311","2116-7125"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311056","host_organization_name":"Lavoisier publishing","host_organization_lineage":["https://openalex.org/P4310311056"],"host_organization_lineage_names":["Lavoisier publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.iieta.org/download/file/fid/32515","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019753026","display_name":"Jyostna Devi Bodapati","orcid":"https://orcid.org/0000-0002-5185-882X"},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"funder","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyostna Bodapati","raw_affiliation_strings":["Department of CSE, Vignan's Foundation for Science Technology and Research, Vadlamudi 522213, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Vignan's Foundation for Science Technology and Research, Vadlamudi 522213, India","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006334909","display_name":"Annepu Vijay","orcid":null},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"funder","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Annepu Vijay","raw_affiliation_strings":["Department of CSE, Vignan's Foundation for Science Technology and Research, Vadlamudi 522213, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Vignan's Foundation for Science Technology and Research, Vadlamudi 522213, India","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029506113","display_name":"N. Veeranjaneyulu","orcid":null},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"funder","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Naralasetti Veeranjaneyulu","raw_affiliation_strings":["Department of IT, Vignan's Foundation for Science Technology and Research, Vadlamudi 522213, India"],"affiliations":[{"raw_affiliation_string":"Department of IT, Vignan's Foundation for Science Technology and Research, Vadlamudi 522213, India","institution_ids":["https://openalex.org/I149313025"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.607,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":9,"citation_normalized_percentile":{"value":0.830766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":86},"biblio":{"volume":"25","issue":"2","first_page":"259","last_page":"265"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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":1.0,"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":0.998,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.993,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.50069404},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.47706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47110894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3319267},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18280/isi.250214","pdf_url":"https://www.iieta.org/download/file/fid/32515","source":{"id":"https://openalex.org/S1757003","display_name":"Ing\u00e9nierie des syst\u00e8mes d information","issn_l":"1633-1311","issn":["1633-1311","2116-7125"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311056","host_organization_name":"Lavoisier publishing","host_organization_lineage":["https://openalex.org/P4310311056"],"host_organization_lineage_names":["Lavoisier publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18280/isi.250214","pdf_url":"https://www.iieta.org/download/file/fid/32515","source":{"id":"https://openalex.org/S1757003","display_name":"Ing\u00e9nierie des syst\u00e8mes d information","issn_l":"1633-1311","issn":["1633-1311","2116-7125"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311056","host_organization_name":"Lavoisier publishing","host_organization_lineage":["https://openalex.org/P4310311056"],"host_organization_lineage_names":["Lavoisier publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1857322483","https://openalex.org/W1865761","https://openalex.org/W1884191083","https://openalex.org/W1977445321","https://openalex.org/W1998133650","https://openalex.org/W2109197306","https://openalex.org/W2116531017","https://openalex.org/W2123059435","https://openalex.org/W2181487695","https://openalex.org/W2293063104","https://openalex.org/W2310992461","https://openalex.org/W2587828787","https://openalex.org/W2621028221","https://openalex.org/W2762559025","https://openalex.org/W2780099243","https://openalex.org/W2910290096","https://openalex.org/W2914960045","https://openalex.org/W2939692807","https://openalex.org/W2975743880","https://openalex.org/W2987582114","https://openalex.org/W3120332919"],"related_works":["https://openalex.org/W4244943737","https://openalex.org/W3184582087","https://openalex.org/W3107474891","https://openalex.org/W3003836766","https://openalex.org/W2996038082","https://openalex.org/W2378160586","https://openalex.org/W2163831990","https://openalex.org/W2146076056","https://openalex.org/W2033914206","https://openalex.org/W1978450727"],"abstract_inverted_index":{"Tumor":[0],"grown":[1],"in":[2,26,33],"the":[3,9,27,34,57,61,87,103,107,115,121,150,156,162,173,201,205,225,231,234],"human":[4,28,47],"brains":[5],"is":[6,19,74,78,96,152],"one":[7],"of":[8,16,22,46,56,89,120,204,216,224],"significant":[10],"reasons":[11],"that":[12,24,70,85,136],"lead":[13],"to":[14,52,97,213],"loss":[15],"lives":[17,48,62],"globally.Tumor":[18],"malignant":[20],"collection":[21],"cells":[23],"grow":[25,32],"body.If":[29],"these":[30],"tumors":[31,100],"brain,":[35],"then":[36],"they":[37],"are":[38,49,124],"called":[39],"as":[40,218],"brain":[41,99,108],"tumors.Every":[42],"year":[43],"large":[44],"number":[45],"lost":[50],"due":[51],"this":[53,94],"disease.Early":[54],"detection":[55],"disease":[58],"might":[59],"save":[60],"but":[63],"requires":[64,71],"experienced":[65],"clinicians":[66],"and":[67,73,195,227],"diagnostic":[68],"procedure":[69],"time":[72],"very":[75],"expensive.Therefore,":[76],"there":[77],"a":[79,82,130],"requirement":[80],"for":[81,200],"robust":[83],"system":[84],"automates":[86],"process":[88],"tumor":[90,122,206],"identification.The":[91],"idea":[92],"behind":[93],"paper":[95],"diagnose":[98],"by":[101,126,166],"identifying":[102],"affected":[104],"regions":[105],"from":[106,176],"MRI":[109],"images":[110,123],"using":[111],"machine":[112],"learning":[113],"approaches.In":[114],"proposed":[116,210],"approach,":[117],"prominent":[118],"features":[119,174,220],"collected":[125],"passing":[127],"them":[128],"through":[129],"pre-trained":[131],"Convolutional":[132],"Network,":[133],"VGG16.We":[134,177],"observe":[135],"SVM":[137],"gives":[138],"better":[139],"accuracy":[140,215],"than":[141],"other":[142],"models.Though":[143],"we":[144,148,160],"achieve":[145],"84%":[146],"accuracy,":[147],"feel":[149],"performance":[151],"not":[153],"satisfactory.To":[154],"make":[155],"model":[157,211],"more":[158],"robust,":[159],"obtain":[161],"most":[163,235],"discriminant":[164,236],"features,":[165],"applying":[167],"Linear":[168],"Discriminant":[169],"Analysis":[170],"(LDA)":[171],"on":[172],"obtained":[175],"use":[178],"different":[179],"conventional":[180],"models":[181],"like":[182],"logistic":[183],"regression,":[184],"K-Nearest":[185],"neighbor":[186],"classifier":[187],"(KNN),":[188],"Perceptron":[189,193],"learning,":[190],"Multi":[191],"Layered":[192],"(MLP)":[194],"Support":[196],"Vector":[197],"Machine":[198],"(SVM)":[199],"comparison":[202],"study":[203],"image":[207],"classification":[208],"task.The":[209],"leads":[212],"an":[214],"100%":[217],"deep":[219],"extract":[221],"important":[222],"characteristics":[223],"data":[226,232],"further":[228],"LDA":[229],"projects":[230],"onto":[233],"directions.":[237]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3034071644","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-04-13T07:25:44.302120","created_date":"2020-06-12"}