{"id":"https://openalex.org/W3017621176","doi":"https://doi.org/10.1109/access.2020.2989193","title":"CGHF: A Computational Decision Support System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features","display_name":"CGHF: A Computational Decision Support System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3017621176","doi":"https://doi.org/10.1109/access.2020.2989193","mag":"3017621176"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2989193","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989193","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075214.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/ielx7/6287639/8948470/09075214.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100636370","display_name":"Rahul Kumar","orcid":"https://orcid.org/0000-0002-9266-9515"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rahul Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-9266-9515","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101883305","display_name":"Ankur Gupta","orcid":"https://orcid.org/0000-0002-6515-2596"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankur Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-6515-2596","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045107052","display_name":"Harkirat Singh Arora","orcid":"https://orcid.org/0000-0001-6866-8814"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harkirat Singh Arora","raw_affiliation_strings":["Department of Chemical Engineering, IIT Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0001-6866-8814","affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036858748","display_name":"Ganesh N. Pandian","orcid":"https://orcid.org/0000-0002-5531-1995"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ganesh Namasivayam Pandian","raw_affiliation_strings":["Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5531-1995","affiliations":[{"raw_affiliation_string":"Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030765476","display_name":"Balasubramanian Raman","orcid":"https://orcid.org/0000-0001-6277-6267"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balasubramanian Raman","raw_affiliation_strings":["Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0001-6277-6267","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100636370"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2888,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.93814066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"79440","last_page":"79458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9969000220298767,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/random-forest","display_name":"Random forest","score":0.8796250820159912},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.770854115486145},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.5894438028335571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.540620744228363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4695076644420624},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4525274336338043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4452970325946808},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4366750717163086},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39186787605285645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.320866197347641},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09935587644577026}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8796250820159912},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.770854115486145},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.5894438028335571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.540620744228363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4695076644420624},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4525274336338043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4452970325946808},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4366750717163086},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39186787605285645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.320866197347641},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09935587644577026},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2989193","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989193","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075214.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:0c1788a2cc394d7989d12d0ff8e26855","is_oa":true,"landing_page_url":"https://doaj.org/article/0c1788a2cc394d7989d12d0ff8e26855","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 8, Pp 79440-79458 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2989193","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989193","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09075214.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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325255","display_name":"Ministry of Electronics and Information technology","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3017621176.pdf","grobid_xml":"https://content.openalex.org/works/W3017621176.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W3461475","https://openalex.org/W616030133","https://openalex.org/W1564419782","https://openalex.org/W1607198972","https://openalex.org/W1641498739","https://openalex.org/W1717181322","https://openalex.org/W1966566478","https://openalex.org/W1986211833","https://openalex.org/W1987937542","https://openalex.org/W1993473032","https://openalex.org/W2003304826","https://openalex.org/W2016599848","https://openalex.org/W2019090719","https://openalex.org/W2044465660","https://openalex.org/W2049893410","https://openalex.org/W2057152846","https://openalex.org/W2065206656","https://openalex.org/W2068131454","https://openalex.org/W2071361275","https://openalex.org/W2074466695","https://openalex.org/W2075710390","https://openalex.org/W2077763531","https://openalex.org/W2083504715","https://openalex.org/W2100860054","https://openalex.org/W2101484720","https://openalex.org/W2103004421","https://openalex.org/W2104960492","https://openalex.org/W2119869458","https://openalex.org/W2120587770","https://openalex.org/W2128739912","https://openalex.org/W2128873747","https://openalex.org/W2134807618","https://openalex.org/W2143426320","https://openalex.org/W2144854846","https://openalex.org/W2149620660","https://openalex.org/W2153820018","https://openalex.org/W2154053567","https://openalex.org/W2157825442","https://openalex.org/W2160382843","https://openalex.org/W2174661749","https://openalex.org/W2185967267","https://openalex.org/W2206271991","https://openalex.org/W2293331350","https://openalex.org/W2499308752","https://openalex.org/W2533517328","https://openalex.org/W2587297900","https://openalex.org/W2594020746","https://openalex.org/W2741586856","https://openalex.org/W2749025438","https://openalex.org/W2751069891","https://openalex.org/W2755044641","https://openalex.org/W2762559025","https://openalex.org/W2765490497","https://openalex.org/W2767128594","https://openalex.org/W2769790028","https://openalex.org/W2782510979","https://openalex.org/W2792082902","https://openalex.org/W2885033426","https://openalex.org/W2897449417","https://openalex.org/W2900298334","https://openalex.org/W2901381629","https://openalex.org/W2911964244","https://openalex.org/W2942067724","https://openalex.org/W2962316502","https://openalex.org/W2998490530","https://openalex.org/W4212949515","https://openalex.org/W4233857083","https://openalex.org/W6600140211","https://openalex.org/W6637279848","https://openalex.org/W6681822384","https://openalex.org/W6728902502","https://openalex.org/W6744169265","https://openalex.org/W6755891590"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W2496284264","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W3127798246","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Brain":[0,61],"tumors":[1],"are":[2],"the":[3,10,22,28,46,78,98,104,146,152,162],"most":[4],"prominent":[5],"neurologically":[6],"malignant":[7],"cancers":[8],"with":[9,132],"highest":[11],"injury":[12],"and":[13,27,52,72,96],"death":[14],"rates":[15],"worldwide.":[16],"Glioma":[17],"classification":[18,150],"is":[19,67,74,91,106,115],"crucial":[20],"for":[21,69,81,140,151],"prognosis,":[23,155],"assessment":[24,153],"of":[25,30,48,60,85,100,148,154,164],"prognostication":[26],"planning":[29,163],"clinical":[31,165],"guidelines":[32,166],"before":[33],"surgery.":[34,169],"Herein,":[35],"we":[36],"introduce":[37],"a":[38,54],"novel":[39],"stationary":[40],"wavelet-based":[41],"radiomics":[42,79],"approach":[43,157],"to":[44,168],"classify":[45],"grade":[47,99],"glioma":[49,149],"more":[50],"accurately":[51],"in":[53,161],"non-invasive":[55],"manner.":[56],"The":[57,87,112],"training":[58],"dataset":[59],"Tumor":[62],"Segmentation":[63],"(BraTS)":[64],"Challenge":[65],"2018":[66],"used":[68],"performance":[70,105,114],"evaluation":[71],"calculation":[73],"done":[75],"based":[76],"on":[77,93],"features":[80,95],"three":[82],"different":[83],"regions":[84],"interest.":[86],"classifier,":[88],"Random":[89,137],"Forest,":[90],"trained":[92],"these":[94],"predicted":[97],"glioma.":[101],"At":[102],"last,":[103],"validated":[107],"by":[108],"usingfive-fold":[109],"cross-validation":[110],"scheme.":[111],"state-of-the-art":[113],"achieved":[116],"considering":[117],"metric":[118],"(Acc,":[119],"Sens,":[120],"Spec,":[121],"Score,":[122],"MCC,":[123],"AUC)":[124],"\u2261":[125],"(97.54%,":[126],"97.62%,":[127],"97.33%,":[128],"98.3%,":[129],"94.12%,":[130],"97.48%)":[131],"machine":[133],"learning":[134],"predictive":[135],"model":[136],"Forest":[138],"(RF)":[139],"brain":[141],"tumor":[142],"patients'":[143],"classification.":[144],"Considering":[145],"importance":[147],"our":[156],"could":[158],"be":[159],"useful":[160],"prior":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}