. Author manuscript; available in PMC: 2019 Apr 1.

Published in final edited form as: Transl Res. 2018 Jan 12;194:36–55. doi: 10.1016/j.trsl.2017.12.004

Table VIII.

Classification methods

Blood smear		Classification methodology
Thin	Unsupervised	K-mean clustering⁶⁸
		Quaternion Fourier transform (QFT)⁵⁶
	Supervised	Thresholding^{35,42,47,57,69,71,75,80,82,85,96,105,118}
		Bayesian classifier^{45,79,93,112,117,130}
		Annular ring ratio method^43,54
		Naive Bayes tree^{36,111,119,128}
		Logistic regression tree^{108,111,128,161}
		Linear programming¹⁵⁵
		Euclidean distance classifier¹⁰²
		K-nearest neighbors classifier^{40,49,60,77,79,128,144}
		Decision tree^{58,64,76,89,101,127}
		Template matching^23,74
		Ada-boost^17,129
		Nearest mean classifier (NM)¹²⁸
		Fuzzy interface system¹⁰⁹
		Normalized cross-correlation³²
		Support vector machine (SVM)^{29,31,46,49,59,65,81,112,117,122,125,136,149,165,167}
		Linear discriminant (LD)^40,128
		Crowd source games³⁰
		Neural network^{53,84,86,87,90,95,97,99,100,106,111,114,116,124,150,161,169}
		Deep learning^{51,52,124,164,170}
Thick	Unsupervised	K-mean clustering⁹⁸
	Supervised	Naive Bayes tree¹¹¹
		Randomized tree classifier¹³⁷
		Nearest mean classifier (NM)⁹⁸
		Thresholding^{132,139,142,143}
		Support vector machine (SVM)^55,136
		Neural network¹⁴¹
		Genetic algorithm⁵⁵