A Deep Learning Model for Human Blood Cells Classification

M. Pramodha; S. Ansith; J. V.Bibal Benifa; Mohammed Al-Sarem; J. Hanumanthappa; A. A. Bini; Emmanuel Ndagijimana; Faisal Saeed; Md Belal Bin Heyat; Abdulrahman Alqarafi; Abdullah Y. Muaad; Channabasava Chola

doi:10.1007/978-3-031-36258-3_36

A Deep Learning Model for Human Blood Cells Classification

M. Pramodha
, S. Ansith
, J. V.Bibal Benifa
, Mohammed Al-Sarem
, J. Hanumanthappa
, A. A. Bini
, Emmanuel Ndagijimana
, Faisal Saeed
, Md Belal Bin Heyat
, Abdulrahman Alqarafi
, Abdullah Y. Muaad^*
, Channabasava Chola

^*Corresponding author for this work

University of Mysore
Indian Institute of Information Technology Kottayam
Saba'a Region University
Taibah University
Shenzhen University
Sana'a Community College

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (SciVal)

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	410-418
Number of pages	9
Volume	179
DOIs	https://doi.org/10.1007/978-3-031-36258-3_36
Publication status	Published (VoR) - 17 Aug 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	179
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

Blood Cell Classification
Convolutional Neural Network
Deep Learning
Microscopic Imaging
Transfer Learning

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10.1007/978-3-031-36258-3_36

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171181761&doi=10.1007%2f978-3-031-36258-3_36&partnerID=40&md5=353cf455c47d29c2aafd4ea4553004c8

Cite this

Pramodha, M., Ansith, S., Benifa, J. V. B., Al-Sarem, M., Hanumanthappa, J., Bini, A. A., Ndagijimana, E., Saeed, F., Heyat, M. B. B., Alqarafi, A., Muaad, A. Y., & Chola, C. (2023). A Deep Learning Model for Human Blood Cells Classification. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 179, pp. 410-418). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 179). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36258-3_36

@inbook{7a3575f114f545068d9c8a4e8bba350f,

title = "A Deep Learning Model for Human Blood Cells Classification",

keywords = "Blood Cell Classification, Convolutional Neural Network, Deep Learning, Microscopic Imaging, Transfer Learning",

author = "M. Pramodha and S. Ansith and Benifa, \{J. V.Bibal\} and Mohammed Al-Sarem and J. Hanumanthappa and Bini, \{A. A.\} and Emmanuel Ndagijimana and Faisal Saeed and Heyat, \{Md Belal Bin\} and Abdulrahman Alqarafi and Muaad, \{Abdullah Y.\} and Channabasava Chola",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

month = aug,

day = "17",

doi = "10.1007/978-3-031-36258-3\_36",

language = "English",

volume = "179",

series = "Lecture Notes on Data Engineering and Communications Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

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Pramodha, M, Ansith, S, Benifa, JVB, Al-Sarem, M, Hanumanthappa, J, Bini, AA, Ndagijimana, E, Saeed, F, Heyat, MBB, Alqarafi, A, Muaad, AY & Chola, C 2023, A Deep Learning Model for Human Blood Cells Classification. in Lecture Notes on Data Engineering and Communications Technologies. vol. 179, Lecture Notes on Data Engineering and Communications Technologies, vol. 179, Springer Science and Business Media Deutschland GmbH, pp. 410-418. https://doi.org/10.1007/978-3-031-36258-3_36

A Deep Learning Model for Human Blood Cells Classification. / Pramodha, M.; Ansith, S.; Benifa, J. V.Bibal et al.
Lecture Notes on Data Engineering and Communications Technologies. Vol. 179 Springer Science and Business Media Deutschland GmbH, 2023. p. 410-418 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 179).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - A Deep Learning Model for Human Blood Cells Classification

AU - Pramodha, M.

AU - Ansith, S.

AU - Benifa, J. V.Bibal

AU - Al-Sarem, Mohammed

AU - Hanumanthappa, J.

AU - Bini, A. A.

AU - Ndagijimana, Emmanuel

AU - Saeed, Faisal

AU - Heyat, Md Belal Bin

AU - Alqarafi, Abdulrahman

AU - Muaad, Abdullah Y.

AU - Chola, Channabasava

PY - 2023/8/17

Y1 - 2023/8/17

KW - Blood Cell Classification

KW - Convolutional Neural Network

KW - Deep Learning

KW - Microscopic Imaging

KW - Transfer Learning

UR - https://www.scopus.com/pages/publications/85171181761

UR - https://www.scopus.com/pages/publications/85171181761#tab=citedBy

U2 - 10.1007/978-3-031-36258-3_36

DO - 10.1007/978-3-031-36258-3_36

M3 - Chapter

VL - 179

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 410

EP - 418

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

Pramodha M, Ansith S, Benifa JVB, Al-Sarem M, Hanumanthappa J, Bini AA et al. A Deep Learning Model for Human Blood Cells Classification. In Lecture Notes on Data Engineering and Communications Technologies. Vol. 179. Springer Science and Business Media Deutschland GmbH. 2023. p. 410-418. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-36258-3_36

A Deep Learning Model for Human Blood Cells Classification

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Keywords

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