{"id":"https://openalex.org/W7141725000","doi":"https://doi.org/10.1109/icce67443.2026.11449637","title":"LeukoLite: A Lightweight and Robust CNN for Smartphone-Based Leukemia Diagnosis","display_name":"LeukoLite: A Lightweight and Robust CNN for Smartphone-Based Leukemia Diagnosis","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141725000","doi":"https://doi.org/10.1109/icce67443.2026.11449637"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5114234936","display_name":"Saad Ahmed Syed","orcid":"https://orcid.org/0000-0003-1226-7231"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Saad Ahmed Syed","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Dept of Electronic Engineering,Kampar,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Dept of Electronic Engineering,Kampar,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130772138","display_name":"Humaira Nisar","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Humaira Nisar","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Dept of Electronic Engineering,Kampar,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Dept of Electronic Engineering,Kampar,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130731478","display_name":"Saeed Mian Qaisar","orcid":null},"institutions":[{"id":"https://openalex.org/I2803079837","display_name":"American University of the Middle East","ror":"https://ror.org/02gqgne03","country_code":"KW","type":"education","lineage":["https://openalex.org/I2803079837"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Saeed Mian Qaisar","raw_affiliation_strings":["American University of the Middle East,College of Engineering and Technology,Egaila,Kuwait"],"affiliations":[{"raw_affiliation_string":"American University of the Middle East,College of Engineering and Technology,Egaila,Kuwait","institution_ids":["https://openalex.org/I2803079837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050395649","display_name":"Lee Yu Jen","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Lee Yu Jen","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Dept of Electronic Engineering,Kampar,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Dept of Electronic Engineering,Kampar,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110566088","display_name":"Hum Yan Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hum Yan Chai","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Dept of Mechatronics and Biomedical Engineering,Kampar,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Dept of Mechatronics and Biomedical Engineering,Kampar,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114234936"],"corresponding_institution_ids":["https://openalex.org/I931681460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95157998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.5511000156402588,"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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.5511000156402588,"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/T11393","display_name":"Biosensors and Analytical Detection","score":0.0908999964594841,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10309","display_name":"Acute Myeloid Leukemia Research","score":0.03620000183582306,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"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/leukemia","display_name":"Leukemia","score":0.3903000056743622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3100999891757965},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.28839999437332153},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26989999413490295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2433999925851822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597599983215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001999735832214},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2612999975681305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2433999925851822},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2264000028371811},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21549999713897705}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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":29,"referenced_works":["https://openalex.org/W2000897614","https://openalex.org/W2339658711","https://openalex.org/W2736844740","https://openalex.org/W2793002108","https://openalex.org/W2963684193","https://openalex.org/W2986235590","https://openalex.org/W3173992087","https://openalex.org/W3194282450","https://openalex.org/W3206908502","https://openalex.org/W4206841660","https://openalex.org/W4207016125","https://openalex.org/W4321507483","https://openalex.org/W4376875148","https://openalex.org/W4394618991","https://openalex.org/W4394744254","https://openalex.org/W4396608164","https://openalex.org/W4399212077","https://openalex.org/W4399883454","https://openalex.org/W4400387574","https://openalex.org/W4402634077","https://openalex.org/W4402896951","https://openalex.org/W4402901531","https://openalex.org/W4403071470","https://openalex.org/W4407174495","https://openalex.org/W4407637945","https://openalex.org/W4409217364","https://openalex.org/W4410431071","https://openalex.org/W4415757627","https://openalex.org/W6908731571"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"leukemia":[1,175],"diagnosis":[2],"often":[3],"requires":[4],"centralized":[5],"laboratories":[6],"and":[7,61,105,155,171],"expert":[8],"pathologists,":[9],"resulting":[10],"in":[11],"barriers":[12],"to":[13,39,49,64,90,174],"rapid,":[14],"accessible":[15],"healthcare.":[16],"To":[17],"overcome":[18],"this,":[19],"we":[20],"introduce":[21],"LeukoLite":[22],"(LL),":[23],"a":[24,76,100,130,149,153],"novel,":[25],"application-driven":[26],"Convolutional":[27],"Neural":[28],"Network":[29],"(CNN)":[30],"designed":[31],"for":[32,58,115,137,162],"point-of-care":[33],"(POC)":[34],"diagnostic":[35],"systems.":[36],"The":[37],"key":[38],"LL's":[40],"design":[41],"is":[42,112],"hybrid":[43],"architecture":[44],"that":[45,166],"employs":[46],"multi-scale":[47],"kernels":[48],"effectively":[50],"handle":[51],"data":[52],"variability,":[53],"depthwise":[54],"separable":[55],"convolutions":[56],"(DSCs)":[57],"computational":[59],"efficiency,":[60],"skip":[62],"connections":[63],"ensure":[65],"robust":[66],"feature":[67],"learning.":[68],"We":[69],"validate":[70],"our":[71],"approach":[72],"by":[73],"first":[74],"curating":[75],"large-scale,":[77],"five-class":[78],"(ALL,":[79],"AML,":[80],"CLL,":[81],"CML,":[82],"Healthy)":[83],"heterogeneous":[84],"dataset":[85],"from":[86],"nine":[87],"public":[88],"sources":[89],"simulate":[91],"real-world":[92],"conditions.":[93],"On":[94],"this":[95],"challenging":[96],"dataset,":[97],"LL":[98,111],"achieves":[99],"state-of-the-art":[101],"accuracy":[102],"of":[103,108],"91.24%":[104],"an":[106],"F1-score":[107],"91.25%.":[109],"Furthermore,":[110],"highly":[113],"optimized":[114],"resource-constrained":[116],"environments.":[117],"Through":[118],"its":[119],"reliance":[120],"on":[121,139],"DSCs,":[122],"it":[123,135],"operates":[124],"at":[125],"just":[126],"4.2":[127],"GFLOPs":[128],"with":[129],"40.44":[131],"MB":[132],"footprint,":[133],"making":[134],"ideal":[136],"deployment":[138],"smartphones":[140],"or":[141],"other":[142],"low-cost":[143],"consumer":[144],"devices.":[145],"These":[146],"results":[147],"demonstrate":[148],"significant":[150],"step":[151],"towards":[152],"generalizable":[154],"efficient":[156],"automated":[157],"tool,":[158],"paving":[159],"the":[160],"way":[161],"accessible,":[163],"user-oriented":[164],"systems":[165],"can":[167],"improve":[168],"patient":[169],"well-being":[170],"broaden":[172],"access":[173],"screening.":[176]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}