{"id":"https://openalex.org/W4387886072","doi":"https://doi.org/10.1109/access.2023.3326841","title":"Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction","display_name":"Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387886072","doi":"https://doi.org/10.1109/access.2023.3326841"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3326841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3326841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10292639.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10292639.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080693893","display_name":"M. Renugadevi","orcid":null},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Renugadevi","raw_affiliation_strings":["School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017213413","display_name":"K. Narasimhan","orcid":"https://orcid.org/0000-0001-6929-6039"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Narasimhan","raw_affiliation_strings":["School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":"https://orcid.org/0000-0001-6929-6039","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109623795","display_name":"C. V. Ravikumar","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. V. Ravikumar","raw_affiliation_strings":["School of Electronics Engineering, Vellore Institute of Technology, Vellore, India"],"raw_orcid":"https://orcid.org/0000-0002-4630-4072","affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010407596","display_name":"A. Rajesh","orcid":"https://orcid.org/0000-0003-3546-764X"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Anbazhagan","raw_affiliation_strings":["School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088652333","display_name":"Giovanni Pau","orcid":"https://orcid.org/0000-0002-5798-398X"},"institutions":[{"id":"https://openalex.org/I246010334","display_name":"Universit\u00e0 degli Studi di Enna Kore","ror":"https://ror.org/04vd28p53","country_code":"IT","type":"education","lineage":["https://openalex.org/I246010334"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Pau","raw_affiliation_strings":["Faculty of Engineering and Architecture, Kore University of Enna, Enna, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5798-398X","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Architecture, Kore University of Enna, Enna, Italy","institution_ids":["https://openalex.org/I246010334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051972889","display_name":"K. Ramkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kannan Ramkumar","raw_affiliation_strings":["School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":"https://orcid.org/0000-0003-2988-1852","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645455","display_name":"Mohamed Abbas","orcid":"https://orcid.org/0000-0002-3141-2900"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohamed Abbas","raw_affiliation_strings":["Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052433192","display_name":"N. Raju","orcid":"https://orcid.org/0000-0002-5981-2527"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Raju","raw_affiliation_strings":["School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113245867","display_name":"K. Sathish","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Sathish","raw_affiliation_strings":["School of Electronics Engineering, Vellore Institute of Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Vellore Institute of Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":null,"display_name":"Prabu Sevugan","orcid":null},"institutions":[{"id":"https://openalex.org/I175691731","display_name":"Pondicherry University","ror":"https://ror.org/01a3mef16","country_code":"IN","type":"education","lineage":["https://openalex.org/I175691731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabu Sevugan","raw_affiliation_strings":["Department of Banking Technology, Pondicherry University (A Central University), Puducherry, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Banking Technology, Pondicherry University (A Central University), Puducherry, India","institution_ids":["https://openalex.org/I175691731"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.271,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.9720807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"120868","last_page":"120880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.7304416298866272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5621351599693298},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5273405313491821},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4850022494792938},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.4796024560928345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4490637183189392},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1166292130947113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304416298866272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5621351599693298},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5273405313491821},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4850022494792938},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.4796024560928345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4490637183189392},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1166292130947113},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3326841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3326841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10292639.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:75e160e3e3734eeab2ae06868b5a0ba0","is_oa":true,"landing_page_url":"https://doaj.org/article/75e160e3e3734eeab2ae06868b5a0ba0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 120868-120880 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3326841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3326841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10292639.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387886072.pdf","grobid_xml":"https://content.openalex.org/works/W4387886072.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1678356000","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1981989535","https://openalex.org/W1982626083","https://openalex.org/W2097117768","https://openalex.org/W2104933073","https://openalex.org/W2116896806","https://openalex.org/W2148143831","https://openalex.org/W2174661749","https://openalex.org/W2194775991","https://openalex.org/W2465688795","https://openalex.org/W2620716180","https://openalex.org/W2735947739","https://openalex.org/W2751069891","https://openalex.org/W2798122215","https://openalex.org/W2884436604","https://openalex.org/W2889488215","https://openalex.org/W2900298334","https://openalex.org/W2901381629","https://openalex.org/W2907133271","https://openalex.org/W2911964244","https://openalex.org/W2912063259","https://openalex.org/W2952378269","https://openalex.org/W2955805844","https://openalex.org/W2989381536","https://openalex.org/W2994816636","https://openalex.org/W2995003683","https://openalex.org/W3026650888","https://openalex.org/W3027411515","https://openalex.org/W3027873036","https://openalex.org/W3030882797","https://openalex.org/W3047143964","https://openalex.org/W3062949569","https://openalex.org/W3164956625","https://openalex.org/W3174246647","https://openalex.org/W3195666112","https://openalex.org/W3206460902","https://openalex.org/W3208871204","https://openalex.org/W4214904288","https://openalex.org/W4251320243","https://openalex.org/W4285792919","https://openalex.org/W4308923888","https://openalex.org/W6640054144","https://openalex.org/W6687483927","https://openalex.org/W6750469568","https://openalex.org/W6755891590"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"An":[0],"uncontrolled":[1],"growth":[2],"of":[3,56,78,95,202,212,238],"brain":[4,10,13,72],"cells":[5],"is":[6,26,87,103,182,204,216,249],"known":[7],"as":[8,156,184],"a":[9,185],"tumor.":[11],"When":[12],"tumors":[14,73],"are":[15,131,140,154,193],"accurately":[16],"and":[17,39,49,58,74,112,117,127,146,170,179,191,226,257],"promptly":[18],"diagnosed":[19],"using":[20,142,206,218,240],"magnetic":[21],"resonance":[22],"imaging":[23],"scans,":[24],"it":[25],"easier":[27],"to":[28,89,107],"start":[29],"the":[30,34,41,81,91,101,104,114,119,122,135,137,196,233,241,252,263],"right":[31],"treatment,":[32],"track":[33],"tumor\u2019s":[35],"development":[36],"over":[37],"time,":[38],"select":[40],"best":[42],"surgical":[43],"techniques.":[44,150],"This":[45],"paper":[46],"applies":[47],"advanced":[48],"popular":[50],"methods":[51,260],"for":[52,70,158],"preprocessing,":[53],"segmentation,":[54,255],"grading":[55],"tumors,":[57],"lifetime":[59,258],"prediction.":[60,109],"On":[61],"exploring":[62],"various":[63],"encoder-decoder":[64],"architectures,":[65],"UNet++":[66],"architecture":[67],"was":[68],"chosen":[69],"detecting":[71],"obtained":[75,232],"an":[76],"accuracy":[77,201],"98%":[79],"during":[80],"testing":[82],"phase.":[83],"The":[84,151,174,199,246],"segmented":[85],"image":[86],"used":[88,155,194],"extract":[90],"radiomics":[92],"features.":[93],"Despite":[94],"several":[96],"difficulties,":[97],"data":[98],"imbalance":[99],"among":[100],"dataset":[102],"common":[105],"obstacle":[106],"survival":[108],"To":[110],"solve":[111],"increase":[113],"sample":[115],"size":[116],"preserve":[118],"class":[120],"distribution,":[121],"synthetic":[123,129],"minority":[124],"oversampling":[125],"technique":[126],"adaptive":[128],"approaches":[130],"used.":[132],"After":[133],"balancing":[134],"dataset,":[136],"important":[138],"characteristics":[139,153],"selected":[141],"principal":[143],"component":[144],"analysis":[145],"tree-based":[147],"feature":[148],"selection":[149],"collected":[152],"input":[157],"machine":[159],"learning":[160],"techniques":[161],"including":[162],"stochastic":[163,207,223],"gradient":[164,208,224,228,243],"descent,":[165,225],"decision":[166],"tree,":[167],"random":[168],"forest,":[169],"support":[171],"vector":[172],"machine.":[173],"distinction":[175],"between":[176],"low-grade":[177],"glioma":[178,181,214],"high-grade":[180,213],"investigated":[183],"binary":[186],"classification.":[187],"Accuracy,":[188],"precision,":[189],"recall,":[190],"F1score":[192],"in":[195,262],"performance":[197],"evaluation.":[198],"highest":[200],"96%":[203],"achieved":[205],"descent.":[209],"Lifetime":[210],"prediction":[211,259],"patients":[215],"made":[217],"regression":[219],"techniques:":[220],"Linear,":[221],"ridge,":[222],"extreme":[227,242],"boosting.":[229],"We":[230],"have":[231],"least":[234],"mean":[235],"square":[236],"error":[237],"93726.45":[239],"boosting":[244],"method.":[245],"proposed":[247],"approach":[248],"contrasted":[250],"with":[251],"most":[253],"recent":[254],"grading,":[256],"described":[261],"literature.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":14}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
