EURASIP Journal on Image and Video Processing

Table 4 Quantitative evaluations of epidermis segmentation between existing techniques and proposed technique

From: Epidermis segmentation in skin histopathological images based on thickness measurement and k-means algorithm

Techniques	Training set (18 WSIs)					Testing set (46 WSIs)
	\({{\mathcal {A}}_{\text {PRE}}}(\%)\)	\({{\mathcal {A}}_{\text {SEN}}}(\%)\)	\({{\mathcal {A}}_{\text {SPE}}}(\%)\)	\({{\mathcal {D}}_{\text {HD}}}\)	\({{\mathcal {D}}_{\text {MAD}}}\)	\({{\mathcal {A}}_{\text {PRE}}}(\%)\)	\({{\mathcal {A}}_{\text {SEN}}}(\%)\)	\({{\mathcal {A}}_{\text {SPE}}}(\%)\)	\({{\mathcal {D}}_{\text {HD}}}\)	\({{\mathcal {D}}_{\text {MAD}}}\)
MCGT [3]	29.12	76.59	90.14	147.99	26.31	27.61	77.41	86.26	152.63	27.41
CET [23]	56.53	91.44	95.14	143.45	23.75	49.91	91.25	93.84	139.39	24.33
GTSA [22]	75.01	98.13	97.53	140.25	12.43	77.82	98.42	97.15	117.37	13.82
Proposed	98.69	90.39	99.98	130.16	7.71	96.53	92.78	99.84	86.83	6.99

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