Malaria infected erythrocyte classification based on a hybrid classifier using microscopic images of thin blood smear

Author:

Devi Salam Shuleenda,Roy Amarjit,Singha Joyeeta,Sheikh Shah Alam,Laskar Rabul Hussain

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference61 articles.

1. Abdul-Nasir AS, Mashor MY, Mohamed Z (2013) Colour image segmentation approach for detection of malaria parasites using various colour models and k-means clustering. WSEAS T Biol Biomed 10(1):41–55

2. Altman NS (1992) An introduction to kernel and nearest-neighbor non parametric regression. Am Stat 46(3):175–185

3. Annaldas S, Shirgan SS, Marathe VR (2014) Automatic identification of malaria parasites using image processing. Int J Emerg Eng Res Technol 2:107–112

4. Bairagi VK, Charpe KC (2016) Comparison of texture features used for classification of life stages of malaria parasite. Int J Biomed Imag. Article ID 7214156

5. Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):121–167

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