University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Improving Malaria diagnosis through interpretable customized CNNs architectures

Simple item page
dc.contributor.authorAhamed, Md. Faysal
dc.contributor.authorNahiduzzaman, Md.
dc.contributor.authorMahmud, Golam
dc.contributor.authorShafi, Fariya Bintay
dc.contributor.authorAyari, Mohamed Arselene
dc.contributor.authorKhandakar, Amith
dc.contributor.authorAbdullah-Al-Wadud, M.
dc.contributor.authorIslam, S. M. Riazul
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.date.accessioned2025-04-23T15:41:01Z
dc.date.available2025-04-23T15:41:01Z
dc.date.issued2025-02-25
dc.description.statusPeer revieweden
dc.format.extent35
dc.format.extent8842912
dc.identifier301863658
dc.identifierebf9f5fe-66fc-4231-bfaa-68b74eb9ea27
dc.identifier85218708869
dc.identifier.citationAhamed, M F, Nahiduzzaman, M, Mahmud, G, Shafi, F B, Ayari, M A, Khandakar, A, Abdullah-Al-Wadud, M & Islam, S M R 2025, 'Improving Malaria diagnosis through interpretable customized CNNs architectures', Scientific Reports, vol. 15, 6484. https://doi.org/10.1038/s41598-025-90851-1en
dc.identifier.doi10.1038/s41598-025-90851-1
dc.identifier.issn2045-2322
dc.identifier.otherORCID: /0000-0003-2968-9561/work/183073390
dc.identifier.urihttps://hdl.handle.net/2164/25358
dc.identifier.vol15en
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectParallel convolutional neural network (PCNN)en
dc.subjectSoft Attentionen
dc.subjectBlood smearen
dc.subjectPlasmodium parasiteen
dc.subjectMalariaen
dc.subjectDiagnosisen
dc.subjectR Medicine (General)en
dc.subjectSupplementary Dataen
dc.subjectDASen
dc.subjectLinken
dc.subjecthttps://lhncbc.nlm.nih.gov/LHC-research/LHC-projects/image-processing/malaria-datasheet.htmlen
dc.subject.lccR1en
dc.titleImproving Malaria diagnosis through interpretable customized CNNs architecturesen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ahamed_etal_SR_Improving_Malaria_Diagnosis_VoR.pdf
Size:
8.43 MB
Format:
Adobe Portable Document Format
Download

Collections

All research