Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69028
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nurul Hazwani, Abd Halim | - |
dc.contributor.author | Mohd Yusoff, Mashor | - |
dc.contributor.author | Rosline, Hassan | - |
dc.date.accessioned | 2020-12-16T08:31:38Z | - |
dc.date.available | 2020-12-16T08:31:38Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Journal of Physics: Conference Series, vol.1372, 2019, 6 pages | en_US |
dc.identifier.issn | 1742-6588 (print) | - |
dc.identifier.issn | 1742-6596 (online) | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69028 | - |
dc.description | Link to publisher's homepage at https://iopscience.iop.org/ | en_US |
dc.description.abstract | In general, various artificial neural network have been applied in many areas such as modelling, pattern recognition, signal processing, diagnostic and prognostic. In this paper, artificial neural network are used to detect and classify the white blood cell (WBC) inside the acute leukemia blood samples. There are 25 features have been extracted from segmented WBC, which consist of shape, color and texture based features. Then, it have been fed up as the neural network inputs for the classification process in order to classify the segmented regions into two classes either B or T. The training algorithm for MLP network is LevenbergMarquardt (LM). The MLP network achieves the highest testing accuracy of 96.99% for 4 hidden nodes at state of 5 by using the overall 25 input features. Thus, MLP network trained by using LM algorithm is suitable for acute leukemia cells detection in blood sample. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IOP Publishing | en_US |
dc.relation.ispartofseries | International Conference on Biomedical Engineering (ICoBE); | - |
dc.subject | Acute leukemia | en_US |
dc.subject | Multilayer perceptron | en_US |
dc.subject | Leukemia | en_US |
dc.title | Classification of Acute Leukemia Based on Multilayer Perceptron | en_US |
dc.type | Article | en_US |
dc.identifier.url | https://iopscience.iop.org/issue/1742-6596/1372/1 | - |
dc.contributor.url | nurul.hazwani43@yahoo.com | en_US |
Appears in Collections: | Mohd Yusoff Mashor, Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Acute Leukemia.pdf | Main article | 888.63 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.