Classification of Leukemia Disease in Peripheral Blood Cell Images Using Convolutional Neural Network |
Tran, Thanh
(Dept. of IT Convergence and Application Engineering, Pukyong National University)
Park, Jin-Hyuk (Dept. of IT Convergence and Application Engineering, Pukyong National University) Kwon, Oh-Heum (Dept. of IT Convergence and Application Engineering, Pukyong National University) Moon, Kwang-Seok (Dept. of Electronics, Pukyong National University) Lee, Suk-Hwan (Dept. of Information Security, Tongmyong University) Kwon, Ki-Ryong (Dept. of IT Convergence and Application Engineering, Pukyong National University) |
1 | Leukemia: What you need to know. https://www.medicalnewstoday.com/articles/142595.php (accessed Dec., 25, 2017). |
2 | Leukemia stages. https://www.cancercenter.com/leukemia/stages/ (accessed Apr., 30, 2018). |
3 | C. Raje and J. Rangole, "Detection of Leukemia in Microscopic Images using Image Processing," Proceedings of 2014 International Conference on Communication and Signal Processing, Melmaruvathur, pp. 255-259, 2014. |
4 | I. Vincent, K.R. Kwon, S.H. Lee, and K.S. Moon, "Acute Lymphoid Leukemia Classification using Two-Step Neural Network Classifier," Proceedings of 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), pp. 1-4, 2015. |
5 | D. Goutam and S. Sailaja, "Classification of Acute Myelogenous Leukemia in Blood Microscopic Images using Supervised Classifier," Proceedings of 2015 IEEE International Conference on Engineering and Technology (ICETECH ), Coimbatore, pp. 1-5, 2015. |
6 | M.C. Su, C.Y. Cheng, and P.C. Wang, "A Neural-Network-Based Approach to White Blood Cell Classification," The Scientific World Journal, Vol. 2014, Article ID 796371, 9 pages, 2014. |
7 | S.C. Neoh, W. Srisukkham, L. Zhang, S. Todryk, B. Greystoke, C.P. Lim, et al., "An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images," Scientific Reports, Vol. 5, pp. 1-14, 2015. DOI |
8 | J. Song, H.I. Kim, and Y.M. Ro, "Fast and Robust Face Detection based on CNN in Wild Environment," Journal of Korea Multimedia Society, Vol. 19, No. 8, pp. 1310-1319, 2016. DOI |
9 | S.W. Park and D.Y. Kim, "Performance Comparison of Convolution Neural Network by Weight Initialization and Parameter Update Method1," Journal of Korea Multimedia Society, Vol. 21, No. 4, pp. 441-449, 2018. DOI |
10 | A. Krizhevsky, I. Sutskever, and G.E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," NIPS' 12 Proceedings of the 25th International Conference on Neural Information Processing Systems, Vol. 1, pp. 1097-1105, 2012. |
11 | S. Kansal, S. Purwar, and R.K. Tripathi, "Trade-off between Mean Brightness and Contrast in Histogram Equalization Technique for Image Enhancement," 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), pp. 195-198, 2017. |
12 | Padding and Shearing an Image Simultaneousl. https://www.mathworks.com/help/images/padding-and-shearing-an-image-simultaneously.html (accessed Dec., 24, 2017). |
13 | L, Perez and J. Wang, "The Effectiveness of Data Augmentation in Image Classification using Deep Learning,", eprint arXiv:1712.04621, 2017. |
14 | E. U. Francis, M. Y. Mashor, R. Hassan, and A. Abdullah, "Screening of Bone Marrow Slide Images for Leukemia Using Multilayer Perceptron (MLP)," 2011 IEEE Symposium on Industrial Electronics and Applications, Langkawi, pp. 643-648, 2011. |
15 | L. Putzu, G. Caocci, and C.D. Ruberto, "Leucocyte Classification for Leukaemia Detection using Image Processing Techniques," Artificial Intelligence in Medicine, Vol. 62, No. 3, pp. 179-191, 2014. DOI |
16 | M.M. Amin, S. Kermani, A. Talebi, and M.G. Oghli, "Recognition of Acute Lymphoblastic Leukemia Cells in Microscopic Images Using K-Means Clustering and Support Vector Machine Classifier," Journal of medical signals and sensors, Vol. 5, pp. 49-58, 2015. |