{"id":"https://openalex.org/W4399375155","doi":"https://doi.org/10.1109/icit58233.2024.10540913","title":"A Deep Transfer Learning Approach For Lung Tumour Detection With Resilience Testing Under Suboptimal Conditions","display_name":"A Deep Transfer Learning Approach For Lung Tumour Detection With Resilience Testing Under Suboptimal Conditions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399375155","doi":"https://doi.org/10.1109/icit58233.2024.10540913"},"language":"en","primary_location":{"id":"doi:10.1109/icit58233.2024.10540913","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","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/A5059077872","display_name":"Ashim Chakraborty","orcid":"https://orcid.org/0000-0002-1578-5539"},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ashim Chakraborty","raw_affiliation_strings":["School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK","institution_ids":["https://openalex.org/I51216347"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023937042","display_name":"Ted Hubbard","orcid":"https://orcid.org/0000-0001-9393-1696"},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ted Hubbard","raw_affiliation_strings":["School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK","institution_ids":["https://openalex.org/I51216347"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111946209","display_name":"Silvia Cirstea","orcid":null},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Silvia Cirstea","raw_affiliation_strings":["School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK","institution_ids":["https://openalex.org/I51216347"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12243406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10862","display_name":"AI in cancer detection","score":0.9970999956130981,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7396950125694275},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7385293245315552},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6853837966918945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813457012176514},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6442067623138428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6165294051170349},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6118885278701782},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5210677981376648},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4659821391105652},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.413160115480423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4126838445663452},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.18619009852409363},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17586389183998108},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10151684284210205},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07327157258987427}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7396950125694275},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7385293245315552},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6853837966918945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813457012176514},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6442067623138428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6165294051170349},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6118885278701782},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5210677981376648},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4659821391105652},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.413160115480423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4126838445663452},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.18619009852409363},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17586389183998108},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10151684284210205},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07327157258987427},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58233.2024.10540913","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2293063104","https://openalex.org/W2585342583","https://openalex.org/W2613475099","https://openalex.org/W2788311693","https://openalex.org/W2793060776","https://openalex.org/W2884008556","https://openalex.org/W2911605224","https://openalex.org/W2947415482","https://openalex.org/W2971376088","https://openalex.org/W2976353811","https://openalex.org/W3015282954","https://openalex.org/W3037557326","https://openalex.org/W3085203289","https://openalex.org/W3163097361","https://openalex.org/W3208882753","https://openalex.org/W4281982154","https://openalex.org/W4311789145","https://openalex.org/W4360943404","https://openalex.org/W4376057663","https://openalex.org/W4382883431"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Fatality":[0],"from":[1],"lung":[2,37,58,86,120,143,178],"tumours":[3,59],"makes":[4],"up":[5],"the":[6,15,18,29,50,55,64,130,154,164,173],"most":[7,174],"significant":[8],"proportion":[9],"of":[10,31,57,66,79,97,111,114,129,132,149],"all":[11,133],"cancer":[12,62],"deaths":[13],"in":[14,105,181],"UK,":[16],"and":[17,40,63,72,89,95,100,126,184],"10-year":[19],"survival":[20],"rate":[21],"is":[22,46,172],"less":[23],"than":[24],"10%.":[25],"This":[26],"research":[27],"explores":[28],"use":[30],"pretrained":[32,81],"deep":[33,115,135],"neural":[34,82,116,136,157],"networks":[35,83,117,137,158,162],"for":[36,49,177],"tumour":[38,87,121,144,179],"detection":[39,71,180],"aims":[41],"to":[42,69,159],"determine":[43,160],"which":[44,161],"network":[45,176],"best":[47],"suited":[48],"task.":[51],"The":[52,74,167],"report":[53],"highlights":[54],"significance":[56],"as":[60],"fatal":[61],"potential":[65],"artificial":[67],"intelligence":[68],"improve":[70],"diagnosis.":[73],"methodology":[75],"involves":[76],"transfer":[77,109,155],"learning":[78,110],"multiple":[80],"onto":[84,118],"a":[85,112,119,127],"dataset":[88,122],"testing":[90,101],"robustness":[91],"against":[92],"varying":[93],"levels":[94],"types":[96,148],"noise.":[98],"Implementation":[99],"have":[102],"been":[103,124,139],"conducted":[104],"Matlab":[106],"R2022b.":[107],"Firstly,":[108],"number":[113],"has":[123,138],"performed":[125],"comparison":[128],"performance":[131],"chosen":[134],"obtained.":[140],"Subsequently,":[141],"new":[142],"images":[145],"containing":[146],"different":[147],"noise":[150],"were":[151],"fed":[152],"through":[153],"learned":[156],"retain":[163],"highest":[165],"accuracy.":[166],"findings":[168],"suggest":[169],"that":[170],"ResNet-50":[171],"suitable":[175],"both":[182],"normal":[183],"suboptimal":[185],"conditions.":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}