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. Author manuscript; available in PMC: 2014 Dec 30.
Published in final edited form as: Conf Comput Vis Pattern Recognit Workshops. 2014 Jun;2014:3081–3088. doi: 10.1109/CVPR.2014.394

Table 2.

Performance of different methods on the KIRC dataset.

Method DictionarySize=256 DictionarySize=512 DictionarySize=1024
280 training MCSCSPM-HE 97.39 ± 0.36 97.51 ± 0.41 97.48 ± 0.40
MCSCSPM-RGB 97.11 ± 0.44 97.49 ± 0.46 97.44 ± 0.43
MCSCSPM-Gray 88.76 ± 0.59 90.50 ± 0.70 91.28 ± 0.72
PSDSPM [5] 97.19 ± 0.49 97.27 ± 0.44 97.08 ± 0.45
SMLSPM [4] 98.15 ± 0.46 98.50 ± 0.42 98.21 ± 0.44
ScSPM [23] 94.52 ± 0.44 96.37 ± 0.45 96.81 ± 0.50
KSPM [17] 93.55 ± 0.31 93.76 ± 0.27 93.90 ± 0.19

140 training MCSCSPM-HE 96.73 ± 0.84 96.89 ± 0.48 96.84 ± 0.67
MCSCSPM-RGB 96.14 ± 1.17 96.46 ± 1.06 96.64 ± 0.76
MCSCSPM-Gray 86.79 ± 0.98 88.26 ± 0.59 88.50 ± 0.80
PSDSPM [5] 96.80 ± 0.75 96.52 ± 0.76 96.55 ± 0.84
SMLSPM [4] 97.40 ± 0.50 97.98 ± 0.35 97.35 ± 0.48
ScSPM [23] 93.46 ± 0.55 95.68 ± 0.36 96.76 ± 0.63
KSPM [17] 92.50 ± 1.12 93.06 ± 0.82 93.26 ± 0.68

70 training MCSCSPM-HE 95.32 ± 0.67 95.62 ± 0.29 95.40 ± 0.44
MCSCSPM-RGB 94.45 ± 0.84 94.64 ± 0.72 94.45 ± 0.77
MCSCSPM-Gray 84.04 ± 1.10 85.13 ± 0.79 84.66 ± 1.14
PSDSPM [5] 95.12 ± 0.54 95.13 ± 0.51 95.09 ± 0.40
SMLSPM [4] 96.20 ± 0.85 96.37 ± 0.85 96.19 ± 0.62
ScSPM [23] 91.93 ± 1.00 93.67 ± 0.72 94.86 ± 0.86
KSPM [17] 90.78 ± 0.98 91.34 ± 1.13 91.59 ± 0.97