Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future

Charles Ikerionwu; Chikodili Ugwuishiwu; Izunna Okpala; Idara James; Matthew Okoronkwo; Charles Nnadi; Ugochukwu Orji; Deborah Ebem; Anthony Ike

doi:10.1016/j.pdpdt.2022.103198

Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future

Charles Ikerionwu
, Chikodili Ugwuishiwu
, Izunna Okpala
, Idara James
, Matthew Okoronkwo
, Charles Nnadi
, Ugochukwu Orji
, Deborah Ebem
, Anthony Ike

Data Analytics

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Photodiagnosis and Photodynamic Therapy
DOIs	https://doi.org/10.1016/j.pdpdt.2022.103198
Publication status	Published - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1016/j.pdpdt.2022.103198

Cite this

@article{6c715429215f4690be3f951f26d72c67,

title = "Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future",

author = "Charles Ikerionwu and Chikodili Ugwuishiwu and Izunna Okpala and Idara James and Matthew Okoronkwo and Charles Nnadi and Ugochukwu Orji and Deborah Ebem and Anthony Ike",

year = "2022",

month = dec,

doi = "10.1016/j.pdpdt.2022.103198",

language = "English",

journal = "Photodiagnosis and Photodynamic Therapy",

issn = "1572-1000",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future

AU - Ikerionwu, Charles

AU - Ugwuishiwu, Chikodili

AU - Okpala, Izunna

AU - James, Idara

AU - Okoronkwo, Matthew

AU - Nnadi, Charles

AU - Orji, Ugochukwu

AU - Ebem, Deborah

AU - Ike, Anthony

PY - 2022/12

Y1 - 2022/12

UR - http://dx.doi.org/10.1016/j.pdpdt.2022.103198

U2 - 10.1016/j.pdpdt.2022.103198

DO - 10.1016/j.pdpdt.2022.103198

M3 - Article

SN - 1572-1000

JO - Photodiagnosis and Photodynamic Therapy

JF - Photodiagnosis and Photodynamic Therapy

ER -

Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future

UN SDGs

Access to Document

Other files and links

Cite this