Automated and Enhanced Leucocyte Detection and Classification for Leukemia Detection Using Multi-Class SVM Classifier

Author:

More Pranav12,Sugandhi Rekha1

Affiliation:

1. MIT School of Engineering, MIT ADT University, Pune 412201, India

2. School of Technology Management & Engineering, SVKM’s NMIMS University, Navi Mumbai 410210, India

Publisher

MDPI

Reference22 articles.

1. Sajjad, M., Khan, S., Shoaib, M., Ali, H., Jan, Z., Muhammad, K., and Mehmood, I. (2016, January 19–21). Computer Aided System for Leukocytes Classification and Segmentation in Blood Smear Images. Proceedings of the 2016 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan.

2. Deng, L. (2002, January 7–10). An accurate segmentation method for white blood cell images. Proceedings of the IEEE International Symposium on Biomedical Imaging, Washington, DC, USA.

3. Unsupervised Segmentation Based on Robust Estimation and Color Active Contour Models;Yang;IEEE Trans. Inf. Technol. Biomed.,2005

4. Yi, F., Chongxun, Z., Chen, P., and Li, L. (2006, January 17–18). White blood cell image segmentation using on-line trained neural network. Proceedings of the 27th International Conference on Engineering in Medicine and Biology Society, Shanghai, China.

5. Sholeh, F.I. (2013, January 28–29). White blood cell segmentation for fresh blood smear images. Proceedings of the 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Sanur Bali, Indonesia.

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