{"id":"https://openalex.org/W4386590519","doi":"https://doi.org/10.1109/icip49359.2023.10222887","title":"AN L<sub>2</sub>-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images","display_name":"AN L<sub>2</sub>-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386590519","doi":"https://doi.org/10.1109/icip49359.2023.10222887"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5112997922","display_name":"Grace Billingsley","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Grace Billingsley","raw_affiliation_strings":["Arizona State University,SenSIP Center,Tempe,USA","SenSIP Center, Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,SenSIP Center,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049439866","display_name":"Julia Dietlmeier","orcid":"https://orcid.org/0000-0001-9980-0910"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Julia Dietlmeier","raw_affiliation_strings":["Dublin City University,Insight SFI Research Centre for Data Analytics,Ireland","Insight SFI Research Centre for Data Analytics, Dublin City University, Ireland"],"affiliations":[{"raw_affiliation_string":"Dublin City University,Insight SFI Research Centre for Data Analytics,Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090107273","display_name":"Vivek Narayanaswamy","orcid":"https://orcid.org/0000-0002-6570-2930"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek Narayanaswamy","raw_affiliation_strings":["Arizona State University,SenSIP Center,Tempe,USA","SenSIP Center, Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,SenSIP Center,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Spanias","raw_affiliation_strings":["Arizona State University,SenSIP Center,Tempe,USA","SenSIP Center, Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,SenSIP Center,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SenSIP Center, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106498523","display_name":"Noel E. O\u2019Connor","orcid":"https://orcid.org/0000-0002-4033-9135"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Noel E. O\u2019Connor","raw_affiliation_strings":["Dublin City University,Insight SFI Research Centre for Data Analytics,Ireland","Insight SFI Research Centre for Data Analytics, Dublin City University, Ireland"],"affiliations":[{"raw_affiliation_string":"Dublin City University,Insight SFI Research Centre for Data Analytics,Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112997922"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.4783,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82655356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1895","last_page":"1899"},"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":0.9930999875068665,"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/T12676","display_name":"Machine Learning and ELM","score":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.5701565146446228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610266923904419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5015547275543213},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43977391719818115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1596483588218689}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5701565146446228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610266923904419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5015547275543213},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43977391719818115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1596483588218689}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2182098131","https://openalex.org/W2416025122","https://openalex.org/W2510550085","https://openalex.org/W2884585870","https://openalex.org/W2888358068","https://openalex.org/W2955805844","https://openalex.org/W2963420686","https://openalex.org/W3011430986","https://openalex.org/W3023290436","https://openalex.org/W3040396712","https://openalex.org/W3133070173","https://openalex.org/W4200543936","https://openalex.org/W4205964412","https://openalex.org/W4224271142","https://openalex.org/W6743731764","https://openalex.org/W6753412334"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2546503577"],"abstract_inverted_index":{"We":[0,26,47,67],"propose":[1],"an":[2,49,113],"accurate":[3],"and":[4,45,77],"fast":[5],"classification":[6,9],"network":[7,92],"for":[8],"of":[10,24,40,98,122],"brain":[11,41],"tumors":[12],"in":[13,22,112],"MRI":[14],"images":[15],"that":[16,58,79],"outperforms":[17],"all":[18],"lightweight":[19],"methods":[20],"investigated":[21],"terms":[23],"accuracy.":[25],"test":[27],"our":[28,69,110],"model":[29,111],"on":[30,74],"a":[31,61,90,95],"challenging":[32],"2D":[33],"T1-weighted":[34],"CE-MRI":[35],"dataset":[36,76],"containing":[37],"three":[38],"types":[39],"tumors:":[42],"Meningioma,":[43],"Glioma":[44],"Pituitary.":[46],"introduce":[48],"l":[50,82],"<inf":[51,83],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[52,84],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[53,85],"-normalized":[54,86],"spatial":[55,87],"attention":[56,88],"mechanism":[57],"acts":[59],"as":[60],"regularizer":[62],"against":[63,71],"overfitting":[64],"during":[65],"training.":[66],"compare":[68],"results":[70],"the":[72,116,120],"state-of-the-art":[73],"this":[75],"show":[78],"by":[80,108],"integrating":[81],"into":[89],"baseline":[91],"we":[93],"achieve":[94],"performance":[96],"gain":[97],"1.79":[99],"percentage":[100],"points.":[101],"Even":[102],"better":[103],"accuracy":[104],"can":[105],"be":[106],"attained":[107],"combining":[109],"ensemble":[114],"with":[115],"pretrained":[117],"VGG16":[118],"at":[119,130],"expense":[121],"execution":[123],"speed.":[124],"Our":[125],"code":[126],"is":[127],"publicly":[128],"available":[129],"https://github.com/juliadietlmeier/MRI_image_classification.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
