Convolutional Neural Networks for Recognition of Lymphoblast Cell Images
Joint Authors
Pansombut, Tatdow
Wikaisuksakul, Siripen
Khongkraphan, Kittiya
Phon-on, Aniruth
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) subtypes.
The two ALL subtypes considered are T-lymphoblastic leukaemia (pre-T) and B-lymphoblastic leukaemia (pre-B).
They exhibit various characteristics which make it difficult to distinguish between subtypes from their mature cells, lymphocytes.
In a common approach, handcrafted features must be well designed for this complex domain-specific problem.
With deep learning approach, handcrafted feature engineering can be eliminated because a deep learning method can automate this task through the multilayer architecture of a convolutional neural network (CNN).
In this work, we implement a CNN classifier to explore the feasibility of deep learning approach to identify lymphocytes and ALL subtypes, and this approach is benchmarked against a dominant approach of support vector machines (SVMs) applying handcrafted feature engineering.
Additionally, two traditional machine learning classifiers, multilayer perceptron (MLP), and random forest are also applied for the comparison.
The experiments show that our CNN classifier delivers better performance to identify normal lymphocytes and pre-B cells.
This shows a great potential for image classification with no requirement of multiple preprocessing steps from feature engineering.
American Psychological Association (APA)
Pansombut, Tatdow& Wikaisuksakul, Siripen& Khongkraphan, Kittiya& Phon-on, Aniruth. 2019. Convolutional Neural Networks for Recognition of Lymphoblast Cell Images. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129572
Modern Language Association (MLA)
Pansombut, Tatdow…[et al.]. Convolutional Neural Networks for Recognition of Lymphoblast Cell Images. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129572
American Medical Association (AMA)
Pansombut, Tatdow& Wikaisuksakul, Siripen& Khongkraphan, Kittiya& Phon-on, Aniruth. Convolutional Neural Networks for Recognition of Lymphoblast Cell Images. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129572
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129572