{"id":"https://openalex.org/W7131365388","doi":"https://doi.org/10.3390/jimaging12030098","title":"Hybrid Vision Transformer\u2013CNN Framework for Alzheimer\u2019s Disease Cell Type Classification: A Comparative Study with Vision\u2013Language Models","display_name":"Hybrid Vision Transformer\u2013CNN Framework for Alzheimer\u2019s Disease Cell Type Classification: A Comparative Study with Vision\u2013Language Models","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7131365388","doi":"https://doi.org/10.3390/jimaging12030098","pmid":"https://pubmed.ncbi.nlm.nih.gov/41892900"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging12030098","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030098","pdf_url":"https://www.mdpi.com/2313-433X/12/3/98/pdf?version=1772021107","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/12/3/98/pdf?version=1772021107","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073202233","display_name":"Easin Hasan","orcid":"https://orcid.org/0000-0003-2446-7425"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Easin Hasan","raw_affiliation_strings":["Department of Mathematical Sciences, The University of Texas at El Paso, El Paso, TX 79968, USA"],"raw_orcid":"https://orcid.org/0000-0003-2446-7425","affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, The University of Texas at El Paso, El Paso, TX 79968, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072342233","display_name":"Md. Tahmid Hasan Fuad","orcid":"https://orcid.org/0000-0002-8144-1275"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Md Tahmid Hasan Fuad","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8144-1275","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543768","display_name":"Omar Sharif","orcid":"https://orcid.org/0000-0003-4372-1572"},"institutions":[{"id":"https://openalex.org/I2802326326","display_name":"The University of Texas Rio Grande Valley","ror":"https://ror.org/02p5xjf12","country_code":"US","type":"education","lineage":["https://openalex.org/I2802326326"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Sharif","raw_affiliation_strings":["School of Mathematical and Statistical Science, The University of Texas at Rio Grande Valley, Edinburg, TX 78541, USA"],"raw_orcid":"https://orcid.org/0000-0003-4372-1572","affiliations":[{"raw_affiliation_string":"School of Mathematical and Statistical Science, The University of Texas at Rio Grande Valley, Edinburg, TX 78541, USA","institution_ids":["https://openalex.org/I2802326326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044859381","display_name":"Amy Wagler","orcid":"https://orcid.org/0000-0001-9799-6059"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy Wagler","raw_affiliation_strings":["Office of Research, Creativity, and Economic Development, New Mexico State University, Las Cruces, NM 88003, USA"],"raw_orcid":"https://orcid.org/0000-0001-9799-6059","affiliations":[{"raw_affiliation_string":"Office of Research, Creativity, and Economic Development, New Mexico State University, Las Cruces, NM 88003, USA","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073202233"],"corresponding_institution_ids":["https://openalex.org/I164936912"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34922648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"3","first_page":"98","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.6969000101089478,"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.6969000101089478,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.10339999943971634,"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/T10862","display_name":"AI in cancer detection","score":0.08380000293254852,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7907999753952026},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5802000164985657},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.47589999437332153},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44679999351501465},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.4189000129699707},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.38019999861717224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3736000061035156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3490000069141388}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7907999753952026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045999765396118},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.47589999437332153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45719999074935913},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44679999351501465},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.4189000129699707},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C124978682","wikidata":"https://www.wikidata.org/wiki/Q1201019","display_name":"Proof of concept","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C147025567","wikidata":"https://www.wikidata.org/wiki/Q16335140","display_name":"Cellular model","level":3,"score":0.25200000405311584},{"id":"https://openalex.org/C189014844","wikidata":"https://www.wikidata.org/wiki/Q189118","display_name":"Cell type","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/jimaging12030098","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030098","pdf_url":"https://www.mdpi.com/2313-433X/12/3/98/pdf?version=1772021107","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41892900","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41892900","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:scholarworks.utrgv.edu:mss_fac-1799","is_oa":true,"landing_page_url":"https://scholarworks.utrgv.edu/mss_fac/797","pdf_url":null,"source":{"id":"https://openalex.org/S4306402611","display_name":"ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802326326","host_organization_name":"The University of Texas Rio Grande Valley","host_organization_lineage":["https://openalex.org/I2802326326"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"School of Mathematical & Statistical Sciences Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:f2835f2dd6ad4eb3a4de6be1fafa0ce4","is_oa":true,"landing_page_url":"https://doaj.org/article/f2835f2dd6ad4eb3a4de6be1fafa0ce4","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":"Journal of Imaging, Vol 12, Iss 3, p 98 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13028275","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13028275/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging12030098","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030098","pdf_url":"https://www.mdpi.com/2313-433X/12/3/98/pdf?version=1772021107","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7131365388.pdf","grobid_xml":"https://content.openalex.org/works/W7131365388.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1988867339","https://openalex.org/W2039069312","https://openalex.org/W2051218719","https://openalex.org/W2097117768","https://openalex.org/W2148143831","https://openalex.org/W2159838014","https://openalex.org/W2161722802","https://openalex.org/W2171380313","https://openalex.org/W2194775991","https://openalex.org/W2497919201","https://openalex.org/W2601947521","https://openalex.org/W2885150722","https://openalex.org/W2899635607","https://openalex.org/W2905035821","https://openalex.org/W2907148404","https://openalex.org/W2963446712","https://openalex.org/W2981355144","https://openalex.org/W3005456347","https://openalex.org/W3035162004","https://openalex.org/W3036319923","https://openalex.org/W3092527447","https://openalex.org/W3120430728","https://openalex.org/W3124731861","https://openalex.org/W3128611351","https://openalex.org/W3132191748","https://openalex.org/W3160822735","https://openalex.org/W3165086073","https://openalex.org/W3196890347","https://openalex.org/W4224229898","https://openalex.org/W4225597912","https://openalex.org/W4280512342","https://openalex.org/W4293769756","https://openalex.org/W4312125929","https://openalex.org/W4323315257","https://openalex.org/W4360985733","https://openalex.org/W4381435789","https://openalex.org/W4383724140","https://openalex.org/W4385573131","https://openalex.org/W4387642613","https://openalex.org/W4388520996","https://openalex.org/W4393084564","https://openalex.org/W4399356446","https://openalex.org/W4402499135","https://openalex.org/W4409541972"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"identification":[1],"of":[2,117,124,170],"Alzheimer's":[3],"disease":[4],"(AD)-related":[5],"cellular":[6,19,154,190],"characteristics":[7],"from":[8,33],"microscopy":[9,34,69,155],"images":[10],"is":[11],"essential":[12],"for":[13,153,176,188],"understanding":[14],"neurodegenerative":[15],"mechanisms":[16],"at":[17],"the":[18,109],"level.":[20],"While":[21,157],"most":[22],"computational":[23],"approaches":[24,133],"focus":[25],"on":[26],"macroscopic":[27],"neuroimaging":[28],"modalities,":[29],"cell":[30,60],"type":[31],"classification":[32],"remains":[35],"relatively":[36],"underexplored.":[37],"In":[38],"this":[39,164],"study,":[40],"we":[41],"propose":[42],"a":[43,73,114,120,168],"hybrid":[44,111],"vision":[45],"transformer-convolutional":[46],"neural":[47],"network":[48],"(ViT-CNN)":[49],"framework":[50],"that":[51,108,140],"integrates":[52],"DeiT-Small":[53],"and":[54,64,83,85,92,98,119,130,162,172,185],"EfficientNet-B7":[55],"to":[56],"classify":[57],"three":[58],"AD-related":[59,189],"types-astrocytes,":[61],"cortical":[62],"neurons,":[63],"SH-SY5Y":[65],"neuroblastoma":[66],"cells-from":[67],"phase-contrast":[68],"images.":[70],"We":[71],"perform":[72],"comparative":[74],"evaluation":[75],"against":[76],"conventional":[77],"CNN":[78,128],"architectures":[79],"(DenseNet,":[80],"ResNet,":[81],"InceptionNet,":[82],"MobileNet)":[84],"prompt-based":[86],"multimodal":[87,182],"vision-language":[88],"models":[89],"(GPT-5,":[90],"GPT-4o,":[91],"Gemini":[93],"2.5-Flash)":[94],"using":[95],"zero-shot,":[96],"few-shot,":[97],"chain-of-thought":[99],"prompting.":[100],"Experiments":[101],"conducted":[102],"with":[103,145],"stratified":[104],"fivefold":[105],"cross-validation":[106],"show":[107],"proposed":[110],"model":[112],"achieves":[113],"test":[115],"accuracy":[116],"61.03%":[118],"macro":[121],"F1":[122],"score":[123],"61.85,":[125],"outperforming":[126],"standalone":[127],"baselines":[129],"prompt-only":[131],"LLM":[132],"under":[134],"data-limited":[135],"conditions.":[136],"These":[137],"results":[138],"suggest":[139],"combining":[141],"convolutional":[142],"inductive":[143],"biases":[144],"transformer-based":[146],"global":[147],"context":[148],"modeling":[149],"can":[150],"improve":[151],"generalization":[152],"classification.":[156],"constrained":[158],"by":[159],"dataset":[160],"size":[161],"scope,":[163],"work":[165],"serves":[166],"as":[167],"proof":[169],"concept":[171],"highlights":[173],"promising":[174],"directions":[175],"future":[177],"research":[178],"in":[179],"domain-specific":[180],"pretraining,":[181],"data":[183],"integration,":[184],"explainable":[186],"AI":[187],"analysis.":[191]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-02-25T00:00:00"}