A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony

Henry Joutsijoki; Markus Haponen; Katriina Aalto-Setälä; Martti Juhola

doi:10.1109/CIBCB56990.2023.10264905

A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony

Henry Joutsijoki, Markus Haponen, Katriina Aalto-Setälä, Martti Juhola

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

8 Lataukset (Pure)

Alkuperäiskieli	Englanti
Otsikko	2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Kustantaja	IEEE
Sivumäärä	7
ISBN (elektroninen)	979-8-3503-1017-7
DOI - pysyväislinkit	https://doi.org/10.1109/CIBCB56990.2023.10264905
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology - Eindhoven, Alankomaat Kesto: 29 elok. 2023 → 31 elok. 2023

Conference

Conference	IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology
Lyhennettä	CIBCB
Maa/Alue	Alankomaat
Kaupunki	Eindhoven
Ajanjakso	29/08/23 → 31/08/23

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.1109/CIBCB56990.2023.10264905

IEEE_CIBCB_Henry_Joutsijoki_et_al
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited
Accepted author manuscript, 4,91 MBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202310259092Lisenssi: Unspecified

Siteeraa tätä

Joutsijoki, H., Haponen, M., Aalto-Setälä, K., & Juhola, M. (2023). A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony. teoksessa 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) IEEE. https://doi.org/10.1109/CIBCB56990.2023.10264905

@inproceedings{e9dbfc61e2284de59373e45ca4d18943,

title = "A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony",

author = "Henry Joutsijoki and Markus Haponen and Katriina Aalto-Set{\"a}l{\"a} and Martti Juhola",

year = "2023",

doi = "10.1109/CIBCB56990.2023.10264905",

language = "English",

booktitle = "2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)",

publisher = "IEEE",

note = "IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB ; Conference date: 29-08-2023 Through 31-08-2023",

}

Joutsijoki, H, Haponen, M, Aalto-Setälä, K & Juhola, M 2023, A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony. julkaisussa 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, Eindhoven, Alankomaat, 29/08/23. https://doi.org/10.1109/CIBCB56990.2023.10264905

A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony. / Joutsijoki, Henry; Haponen, Markus; Aalto-Setälä, Katriina et al.
2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2023.

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

TY - GEN

T1 - A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony

AU - Joutsijoki, Henry

AU - Haponen, Markus

AU - Aalto-Setälä, Katriina

AU - Juhola, Martti

PY - 2023

Y1 - 2023

U2 - 10.1109/CIBCB56990.2023.10264905

DO - 10.1109/CIBCB56990.2023.10264905

M3 - Conference contribution

BT - 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

PB - IEEE

T2 - IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology

Y2 - 29 August 2023 through 31 August 2023

ER -