{"id":"https://openalex.org/W7161485044","doi":"https://doi.org/10.1016/j.bspc.2026.110620","title":"MDeiT: A lightweight and explainable hybrid model for cancer classification in histopathology images","display_name":"MDeiT: A lightweight and explainable hybrid model for cancer classification in histopathology images","publication_year":2026,"publication_date":"2026-05-17","ids":{"openalex":"https://openalex.org/W7161485044","doi":"https://doi.org/10.1016/j.bspc.2026.110620"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2026.110620","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110620","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.bspc.2026.110620","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5097930527","display_name":"Getamesay Haile Dagnaw","orcid":null},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Getamesay Haile Dagnaw","raw_affiliation_strings":["School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4580-3133","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136345454","display_name":"Yanming Zhu","orcid":"https://orcid.org/0000-0002-8238-8090"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yanming Zhu","raw_affiliation_strings":["School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8238-8090","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136331989","display_name":"Yuhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210153519","display_name":"First Affiliated Hospital of Soochow University","ror":"https://ror.org/051jg5p78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153519"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhong Wang","raw_affiliation_strings":["Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210153519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006999097","display_name":"Muhammad Hassan Maqsood","orcid":"https://orcid.org/0000-0002-3704-1899"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muhammad Hassan Maqsood","raw_affiliation_strings":["School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3704-1899","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030630341","display_name":"Xuefei Yin","orcid":"https://orcid.org/0000-0002-5784-7419"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuefei Yin","raw_affiliation_strings":["School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5784-7419","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136321198","display_name":"Alan Wee-Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6718-7584","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith Universit, Southport, Gold Coast, 4222 QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5136321198"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":{"value":2420,"currency":"USD","value_usd":2420},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94454244,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"123","issue":null,"first_page":"110620","last_page":"110620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.7832000255584717,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.7832000255584717,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.07800000160932541,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.014399999752640724,"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/histopathology","display_name":"Histopathology","score":0.6905999779701233},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5310999751091003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45509999990463257},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.24740000069141388}],"concepts":[{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.6905999779701233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036999821662903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353999733924866},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39430001378059387},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29170000553131104},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.24740000069141388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.24639999866485596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2026.110620","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110620","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.bspc.2026.110620","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110620","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2982612985","https://openalex.org/W3089090082","https://openalex.org/W3124870508","https://openalex.org/W3126988965","https://openalex.org/W4280538528","https://openalex.org/W4280621921","https://openalex.org/W4281635832","https://openalex.org/W4281657029","https://openalex.org/W4281982154","https://openalex.org/W4295016021","https://openalex.org/W4311027007","https://openalex.org/W4311649172","https://openalex.org/W4313484972","https://openalex.org/W4321793931","https://openalex.org/W4324144441","https://openalex.org/W4362603432","https://openalex.org/W4367315986","https://openalex.org/W4382203398","https://openalex.org/W4382501920","https://openalex.org/W4383558369","https://openalex.org/W4387376188","https://openalex.org/W4388992570","https://openalex.org/W4389847980","https://openalex.org/W4391375217","https://openalex.org/W4392125139","https://openalex.org/W4396224765","https://openalex.org/W4396536011","https://openalex.org/W4399202122","https://openalex.org/W4400303610","https://openalex.org/W4401795678","https://openalex.org/W4401809435","https://openalex.org/W4402886999","https://openalex.org/W4403349144","https://openalex.org/W4417336907"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,29,41,50,65,121,137,166,174],"interpretable":[2,30],"cancer":[3,139],"classification":[4,48],"in":[5,18,160],"histopathological":[6,179],"images":[7],"remains":[8],"a":[9,27,60,127,172],"significant":[10],"challenge":[11],"due":[12],"to":[13,45,82,112],"the":[14,76,115],"complex":[15],"structural":[16],"variations":[17],"tissue":[19,164],"samples.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,88,102],"propose":[25],"MDeiT,":[26],"lightweight":[28],"sequential":[31],"hybrid":[32,55],"model":[33,99],"that":[34,142],"effectively":[35],"integrates":[36],"Convolutional":[37],"Neural":[38],"Networks":[39],"(CNNs)":[40],"Vision":[42],"Transformers":[43],"(ViTs)":[44],"enhance":[46],"both":[47,162],"accuracy":[49],"efficiency.":[51,154],"Unlike":[52],"traditional":[53],"ensemble-based":[54],"models,":[56],"our":[57],"framework":[58],"adopts":[59],"streamlined":[61],"design,":[62],"leveraging":[63],"MobileNetV2":[64],"DeiT":[66],"Tiny":[67],"as":[68],"backbone":[69],"architectures,":[70],"with":[71],"an":[72],"adaptation":[73],"layer":[74],"facilitating":[75],"transition":[77],"from":[78],"CNN-extracted":[79],"local":[80],"features":[81],"Transformer":[83],"processing.":[84],"To":[85],"improve":[86],"interpretability,":[87],"incorporate":[89],"Gradient-weighted":[90],"Class":[91],"Activation":[92],"Mapping":[93],"(Grad-CAM)":[94],"for":[95,130,177],"visual":[96],"explanations":[97],"of":[98],"predictions.":[100],"Furthermore,":[101],"introduce":[103],"expert-driven":[104],"qualitative":[105],"validation,":[106],"where":[107],"pathologists":[108],"annotate":[109],"ground":[110],"truth":[111],"systematically":[113],"assess":[114],"alignment":[116],"between":[117],"model-generated":[118],"saliency":[119],"maps":[120],"clinically":[122],"relevant":[123],"diagnostic":[124],"regions,":[125],"establishing":[126],"high-quality":[128],"benchmark":[129],"interpretability":[131],"evaluation.":[132],"Extensive":[133],"experiments":[134],"on":[135],"skin":[136],"lung":[138],"datasets":[140],"demonstrate":[141,157],"MDeiT":[143],"consistently":[144],"outperforms":[145],"state-of-the-art":[146],"models":[147],"across":[148],"multiple":[149],"metrics":[150],"while":[151],"maintaining":[152],"computational":[153],"The":[155],"results":[156],"its":[158],"effectiveness":[159],"capturing":[161],"fine-grained":[163],"details":[165],"broader":[167],"contextual":[168],"patterns,":[169],"making":[170],"it":[171],"robust":[173],"scalable":[175],"solution":[176],"real-world":[178],"image":[180],"analysis.":[181]},"counts_by_year":[],"updated_date":"2026-05-19T06:13:58.757530","created_date":"2026-05-18T00:00:00"}
