Intelligent Screening Systems for Cervical Cancer

Table 4

The list of classifiers that are used by different studies.

	Cellular-level based features			Tissue-level based features
	Cytology	FISH	Electromagnetic spectra	Cervicography	Colposcopy	HSDI image
Artificial Neural network	(3/1241/10/78.7) [56], (2/400/10/99) [72], (3/550/4/97.5) [73], (5/78/5/91.4) [75].		(2/361/13/74.4) [84], (2/201/3/87) [82], (3/780/22/97.4) [78].		(2/283/7/95.8) [80].
Support vector machine			(3/63/10/72) [116]
Logistic regression			(4/145/—/88) [12]
𝐾-nearest neighbors					(2/283/7/68.9) [80], (2/48/10/76.5) [97].	(7/371/5/95.96) [117]
Linear discriminant analysis	(5/230/15/60.4) [85].		(2/324/—/78) [118], (2/275/8/96.4) [22], (2/150/5/99.5) [13], (4/800/7/90) [24], (2/92/3/97.6) [119]	(2/100/—/78.5) [88].	(2/40/4/87.2) [61].
Decision trees	(3/1241/10/77) [56],; (—/61/2/96.7) [120].	(2/325/—/93.6) [60]		(2/211/—/78) [94].	(2/29/—/86) [121],; (2/99/—/88.5) [96].

The values given in bracket are number of classes/number of  data/number of features used/accuracy.