Error-Correcting Output Codes in Classification of Human Induced Pluripotent Stem Cell Colony Images
Joint Authors
Haponen, Markus
Rasku, Jyrki
Joutsijoki, Henry
Aalto-Setala, K.
Juhola, Martti
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The purpose of this paper is to examine how well the human induced pluripotent stem cell (hiPSC) colony images can be classified using error-correcting output codes (ECOC).
Our image dataset includes hiPSC colony images from three classes (bad, semigood, and good) which makes our classification task a multiclass problem.
ECOC is a general framework to model multiclass classification problems.
We focus on four different coding designs of ECOC and apply to each one of them k-Nearest Neighbor (k-NN) searching, naïve Bayes, classification tree, and discriminant analysis variants classifiers.
We use Scaled Invariant Feature Transformation (SIFT) based features in classification.
The best accuracy (62.4%) is obtained with ternary complete ECOC coding design and k-NN classifier (standardized Euclidean distance measure and inverse weighting).
The best result is comparable with our earlier research.
The quality identification of hiPSC colony images is an essential problem to be solved before hiPSCs can be used in practice in large-scale.
ECOC methods examined are promising techniques for solving this challenging problem.
American Psychological Association (APA)
Joutsijoki, Henry& Haponen, Markus& Rasku, Jyrki& Aalto-Setala, K.& Juhola, Martti. 2016. Error-Correcting Output Codes in Classification of Human Induced Pluripotent Stem Cell Colony Images. BioMed Research International،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1097210
Modern Language Association (MLA)
Joutsijoki, Henry…[et al.]. Error-Correcting Output Codes in Classification of Human Induced Pluripotent Stem Cell Colony Images. BioMed Research International No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1097210
American Medical Association (AMA)
Joutsijoki, Henry& Haponen, Markus& Rasku, Jyrki& Aalto-Setala, K.& Juhola, Martti. Error-Correcting Output Codes in Classification of Human Induced Pluripotent Stem Cell Colony Images. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1097210
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097210