. Author manuscript; available in PMC: 2020 May 31.

Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2020 Mar 16;11320:113200W. doi: 10.1117/12.2549369

Table 3.

Patch-based 2D-CNN classification results of 14 patients using hyperspectral patches and RGB patches

Patient number	Method	AUC	Accuracy (%)	Specificity (%)	Sensitivity (%)
62	RGB Patch	0.92	80.4	90.0	73.1
62	HSI Patch	0.95	83.5	98.7	68.4
68	RGB Patch	0.95	93.3	92.1	95.3
68	HSI Patch	0.89	78.5	90.9	67.0
74	RGB Patch	0.91	85.4	79.8	96.5
74	HSI Patch	1	87.2	81.9	100
127	RGB Patch	0.92	84.5	85.7	83.0
127	HSI Patch	0.92	75.6	60.3	92.9
134	RGB Patch	0.90	75.3	74.2	76.7
134	HSI Patch	0.86	69.2	32.2	99.1
137	RGB Patch	0.99	96.4	93.8	97.7
137	HSI Patch	1	99.1	97.3	100
154	RGB Patch	0.90	76.8	90.9	65.4
154	HSI Patch	0.90	77.5	58.2	97.0
161	RGB Patch	0.92	61.4	54.7	97.5
161	HSI Patch	0.93	65.0	100	48.4
166	RGB Patch	0.96	88.5	86.8	90.1
166	HSI Patch	0.97	89.3	90.4	87.9
172	RGB Patch	0.97	91.0	91.4	90.7
172	HSI Patch	1	97.4	94.7	99.7
174	RGB Patch	0.92	74.4	46.0	97.9
174	HSI Patch	0.98	91.8	85.9	96.7
184	RGB Patch	0.95	77.9	75.0	92.3
184	HSI Patch	0.94	80.2	83.3	70.5
187	RGB Patch	0.93	85.5	80.5	87.2
187	HSI Patch	0.94	87.5	83.5	90.2
188	RGB Patch	0.84	72.0	66.6	100
188	HSI Patch	0.84	72.3	89.4	69.1
Average	RGB Patch	0.93	81.6	79.1	88.8
Average	HSI Patch	0.94	82.4	81.9	84.8