{"id":"https://openalex.org/W4292430200","doi":"https://doi.org/10.1080/21681163.2022.2111719","title":"Efficient Framework for Brain Tumour Classification using Hierarchical Deep Learning Neural Network Classifier","display_name":"Efficient Framework for Brain Tumour Classification using Hierarchical Deep Learning Neural Network Classifier","publication_year":2022,"publication_date":"2022-08-20","ids":{"openalex":"https://openalex.org/W4292430200","doi":"https://doi.org/10.1080/21681163.2022.2111719"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2022.2111719","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2111719","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5065192274","display_name":"Francis H. Shajin","orcid":"https://orcid.org/0000-0002-0127-739X"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Francis H Shajin","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Anna University, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0002-0127-739X","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Anna University, Chennai, India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030019172","display_name":"P. Salini","orcid":"https://orcid.org/0000-0001-5415-082X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salini P","raw_affiliation_strings":["Department of Computer Science and Engineering, Puducherry Technological University, Puducherry, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Puducherry Technological University, Puducherry, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046725218","display_name":"P. Rajesh","orcid":"https://orcid.org/0000-0001-6844-2591"},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]},{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Rajesh","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Anna University, Chennai, India","Department of Electronics and Telecommunication Engineering, M S Ramaiah Institute of Technology, Bangalore, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0001-6844-2591","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Anna University, Chennai, India","institution_ids":["https://openalex.org/I33585257"]},{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, M S Ramaiah Institute of Technology, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101183481","display_name":"Venu Kadur Nagoji Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venu Kadur Nagoji Rao","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, M S Ramaiah Institute of Technology, Bangalore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, M S Ramaiah Institute of Technology, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I302410947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065192274"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":7.4714,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.97897978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":"3","first_page":"750","last_page":"757"},"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/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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9919000267982483,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.989799976348877,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6663246154785156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6367167234420776},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6271061897277832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6090973615646362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5121064186096191},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5000522136688232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37988126277923584}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6663246154785156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6367167234420776},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6271061897277832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090973615646362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5121064186096191},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5000522136688232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37988126277923584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2022.2111719","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2111719","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2765490497","https://openalex.org/W2791609473","https://openalex.org/W2808602587","https://openalex.org/W2894929205","https://openalex.org/W2897188827","https://openalex.org/W2946053491","https://openalex.org/W2947735999","https://openalex.org/W2955805844","https://openalex.org/W2981783341","https://openalex.org/W2985860224","https://openalex.org/W2988141759","https://openalex.org/W2995378448","https://openalex.org/W3002769598","https://openalex.org/W3004159173","https://openalex.org/W3004866273","https://openalex.org/W3019982033","https://openalex.org/W3020427544","https://openalex.org/W3027411515","https://openalex.org/W3031839920","https://openalex.org/W3087421454","https://openalex.org/W3087969957","https://openalex.org/W3093605970","https://openalex.org/W3097761912","https://openalex.org/W3116944216","https://openalex.org/W3124614752","https://openalex.org/W3129135322","https://openalex.org/W3130790332","https://openalex.org/W3155436006","https://openalex.org/W3157298277","https://openalex.org/W3167973564","https://openalex.org/W4211103194","https://openalex.org/W4233656173"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W4310989423","https://openalex.org/W3208028783","https://openalex.org/W564581980","https://openalex.org/W3158264953"],"abstract_inverted_index":{"In":[0],"this":[1],"manuscript,":[2],"an":[3],"efficient":[4],"framework":[5],"is":[6,66,76],"proposed":[7,74,81],"for":[8,68,118],"brain":[9,71,126],"tumour":[10,127],"classification":[11,130],"(BTC)":[12],"based":[13],"on":[14,121],"hierarchical":[15],"deep-learning":[16],"neural":[17,116],"network":[18,117],"(HieDNN)":[19],"classifier.":[20],"Here,":[21],"the":[22,41,70,111],"input":[23,31],"images":[24,32,58,123],"are":[25,33,49,59],"collected":[26],"from":[27],"Brats":[28],"dataset.":[29],"The":[30,43,56,73,80],"preprocessed":[34],"using":[35,51,144],"Savitzky-Golay":[36],"denoising":[37],"method":[38,82],"to":[39,61],"decrease":[40],"noise.":[42],"image":[44],"features,":[45,48],"like":[46,114],"texture":[47],"removed":[50],"grey-level":[52],"co-occurrence":[53],"matrix":[54],"(GLCM).":[55],"extracted":[57],"fed":[60],"Hie":[62],"DNN":[63],"classifier,":[64],"which":[65],"helpful":[67],"classifying":[69],"images.":[72],"system":[75],"implemented":[77],"in":[78],"MATLAB.":[79],"attains":[83],"higher":[84,95,103],"accuracy":[85,96,104],"of":[86],"31.14%,":[87],"16.09%":[88],"and":[89,99,107,134],"11.48%":[90],"during":[91,93,101],"benign;":[92],"malignant":[94],"35.18%,":[97],"19.17%":[98],"22.80%;":[100],"normal":[102],"44.20%,":[105],"29.97%":[106],"20.44%":[108],"compared":[109],"with":[110,129],"existing":[112],"methods,":[113],"convolutional":[115],"BTC":[119,139],"depending":[120],"MRI":[122],"(CNN-BTC),":[124],"microscopic":[125],"detection":[128],"utilising":[131,140],"3D":[132],"CNN":[133],"feature":[135],"selection":[136],"architecture":[137],"(3DCNN-BTC),":[138],"hybrid":[141],"deep":[142],"auto-encoder":[143],"Bayesian":[145],"fuzzy":[146],"clustering-based":[147],"segmentation":[148],"methodology":[149],"(DAEN-BTC),":[150],"respectively.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":34}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}