{"id":"https://openalex.org/W3135029786","doi":"https://doi.org/10.1109/citisia50690.2020.9371807","title":"Advanced Cascaded Anisotropic Convolutional Neural Network Architecture Based Optimized Feature Selection Brain Tumour Segmentation and Classification","display_name":"Advanced Cascaded Anisotropic Convolutional Neural Network Architecture Based Optimized Feature Selection Brain Tumour Segmentation and Classification","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3135029786","doi":"https://doi.org/10.1109/citisia50690.2020.9371807","mag":"3135029786"},"language":"en","primary_location":{"id":"doi:10.1109/citisia50690.2020.9371807","doi":"https://doi.org/10.1109/citisia50690.2020.9371807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/citisia50690.2020.9371807","pdf_url":null,"source":{"id":"https://openalex.org/S7407097570","display_name":"International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5038459980","display_name":"Sajana Shresta","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sajana Shresta","raw_affiliation_strings":["Information Technology, Charles Sturt University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022892970","display_name":"S. M. N. Arosha Senanayake","orcid":"https://orcid.org/0000-0002-5428-0824","observed_orcids":["https://orcid.org/0000-0002-5428-0824"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SMN Arosha Senanayake","raw_affiliation_strings":["Digital Science University of Brunei, Gadong, Brunei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Science University of Brunei, Gadong, Brunei","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046989332","display_name":"Joko Triloka","orcid":"https://orcid.org/0000-0002-6700-8432","observed_orcids":["https://orcid.org/0000-0002-6700-8432"]},"institutions":[{"id":"https://openalex.org/I4210132611","display_name":"Informatics and Business Institute Darmajaya","ror":"https://ror.org/039xcs474","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210132611"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Joko Triloka","raw_affiliation_strings":["Institut Informatika dan Bisnis Darmajaya, Bandar, Lampung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Informatika dan Bisnis Darmajaya, Bandar, Lampung, Indonesia","institution_ids":["https://openalex.org/I4210132611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1472,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40176546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","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/T12702","display_name":"Brain Tumor Detection and Classification","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/T10052","display_name":"Medical Image Segmentation Techniques","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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/brain-tumor-segmentation","display_name":"brain tumor segmentation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/brain-tumor-classification","display_name":"brain tumor classification","score":0.9760000109672546},{"id":"https://openalex.org/keywords/glioma","display_name":"glioma","score":0.8190000057220459},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8830000162124634},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9269999861717224},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.5460000038146973},{"id":"https://openalex.org/keywords/multi-scale-forecasting","display_name":"multi-scale prediction","score":0.7250000238418579},{"id":"https://openalex.org/keywords/cross-validation","display_name":"cross-validation","score":0.47200000286102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904759645462036},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7761397957801819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272570133209229},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6744285821914673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6571212410926819},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6340252161026001},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6211637258529663},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5516970753669739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4676857590675354},{"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":[{"id":"doi:10.1109/citisia50690.2020.9371807","doi":"https://doi.org/10.1109/citisia50690.2020.9371807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/citisia50690.2020.9371807","pdf_url":null,"source":{"id":"https://openalex.org/S7407097570","display_name":"International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8371999859809875,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2301358467","https://openalex.org/W2310992461","https://openalex.org/W2521587260","https://openalex.org/W2587828787","https://openalex.org/W2589647984","https://openalex.org/W2732931556","https://openalex.org/W2742774307","https://openalex.org/W2765366332","https://openalex.org/W2766964610","https://openalex.org/W2795668191","https://openalex.org/W2884542984","https://openalex.org/W2887976372","https://openalex.org/W2899938625","https://openalex.org/W2901105225","https://openalex.org/W2905017682","https://openalex.org/W2907475719","https://openalex.org/W2909533222","https://openalex.org/W2917942747","https://openalex.org/W2919780733","https://openalex.org/W2921384086","https://openalex.org/W2922384037","https://openalex.org/W2924134239","https://openalex.org/W2929906044","https://openalex.org/W2942309166","https://openalex.org/W2945839551","https://openalex.org/W2947735999","https://openalex.org/W2950387367","https://openalex.org/W2951728967","https://openalex.org/W2954400094","https://openalex.org/W2954704152","https://openalex.org/W2955303309","https://openalex.org/W2955448382","https://openalex.org/W2962930554","https://openalex.org/W2963016155","https://openalex.org/W2963219110","https://openalex.org/W2964212292","https://openalex.org/W2964980777","https://openalex.org/W2969799702","https://openalex.org/W2974878728","https://openalex.org/W2980263953","https://openalex.org/W2980471687","https://openalex.org/W2982255637"],"related_works":["https://openalex.org/W4200514344","https://openalex.org/W4200580199","https://openalex.org/W4366987596","https://openalex.org/W3199675770","https://openalex.org/W2810336020","https://openalex.org/W4388801847","https://openalex.org/W3087421454","https://openalex.org/W4409444540","https://openalex.org/W2291411649","https://openalex.org/W4234516036"],"abstract_inverted_index":{"The":[0,34,65,84,115,146,173],"purpose":[1],"of":[2,25,42,51,63,131,144,148,163,170,188],"the":[3,13,52,59,120,125,139,142,152,160,167,171,179],"research":[4,174],"is":[5,36,68,95,176],"to":[6,19,37,45,49,177],"find":[7],"out":[8],"how":[9],"deep":[10],"learning":[11],"and":[12,23,55,61,92,106,113,123,137,157,183,191,196],"convolutional":[14],"neural":[15],"network":[16],"will":[17,118],"contribute":[18],"diagnosis,":[20],"early":[21],"detection":[22,62,143,184],"segmentation":[24,43,60,112,182],"brain":[26,180],"tumors":[27],"such":[28],"as":[29],"glioma,":[30],"benign,":[31],"malignant,":[32],"etc.":[33],"aim":[35],"achieve":[38],"a":[39],"higher":[40],"degree":[41],"quality":[44],"resolve":[46],"issues":[47],"related":[48],"lack":[50],"classification":[53,168],"accuracy":[54,122,169],"poor":[56],"performance":[57],"in":[58,141,159,186],"tumors.":[64,145],"presented":[66,96,116],"solution":[67],"an":[69,79],"Advanced":[70],"Cascaded":[71],"Anisotropic":[72],"Convolutional":[73],"Neural":[74],"Network":[75],"(CA-CNN)":[76],"architecture":[77],"with":[78],"optimized":[80],"feature":[81,88,103],"selection":[82,91,105,130,162],"method.":[83],"DFP":[85],"(Data":[86],"collection,":[87],"extraction":[89],"&":[90],"prediction)":[93],"taxonomy":[94],"that":[97],"involves":[98,124],"data":[99,101,135],"acquiring,":[100],"pre-processing,":[102],"extraction,":[104],"prediction":[107,121,195],"methods":[108],"for":[109,128],"effective":[110,129],"tumor":[111,181],"detection.":[114],"system":[117],"enhance":[119],"genetic":[126,149],"algorithm":[127,150],"features":[132,164],"which":[133,165],"prevents":[134],"redundancy":[136,153],"reduce":[138],"delay":[140],"utilization":[147],"minimizes":[151],"within":[154],"input":[155],"voxels":[156],"facilitates":[158],"optimal":[161],"improves":[166],"solution.":[172],"conducted":[175],"improve":[178],"process":[185],"terms":[187],"accuracy,":[189],"specificity":[190],"sensitivity":[192],"using":[193],"multi-scale":[194],"cross-validation.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2021-03-15T00:00:00"}
