Image classification of malaria using hybrid algorithms: convolutional neural network and method to find appropriate K for K-nearest neighbor
This paper presents image classification algorithms to improve the learning rate and to comparison the classification efficiency. Using convolutional neural network (CNN) for feature extraction and method to find appropriate k for k-nearest neighbor (KNN). Medical datasets were used in the experimen...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2019-10-01.
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| LEADER | 02093 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs17794_12996 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Lumchanow, Wisit |e author |
| 100 | 1 | 0 | |a Pathumwan Institute of Technology |e contributor |
| 700 | 1 | 0 | |a Udomsiri, Sakol |e author |
| 245 | 0 | 0 | |a Image classification of malaria using hybrid algorithms: convolutional neural network and method to find appropriate K for K-nearest neighbor |
| 260 | |b Institute of Advanced Engineering and Science, |c 2019-10-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17794 | ||
| 520 | |a This paper presents image classification algorithms to improve the learning rate and to comparison the classification efficiency. Using convolutional neural network (CNN) for feature extraction and method to find appropriate k for k-nearest neighbor (KNN). Medical datasets were used in the experiments to classify Plasmodium Vivax and Plasmodium Falciparum. Results of the study indicated that for Plasmodium Vivax in ring form, the appropriate k was 1 and the learning rate (LR) was 83.33%, Trophozoite (k=5, LR=91.67%), Schizont (k=1, LR=83.33%), and Gametocyte (k=1, LR=91.67%) whereas Plasmodium Falciparum in ring form (k=7, LR=91.67%), Trophozoite (k=1, LR=83.33%), Schizont (k=1, LR=91.67%) and Gametocyte (k=1, LR=100%). | ||
| 540 | |a Copyright (c) 2019 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer; Electrical Engineering | ||
| 690 | |a Image classification; Malaria; AlexNet; CNN; KNN; | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 16, No 1: October 2019; 382-388 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v16.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17794/12996 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17794/12996 |z Get fulltext |