Table 10 Comparative result for contribution of each component to overall performance of our proposed pipeline

From: A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification

Pipeline configuration

Preprocessing

Segmentation

Feature extraction

Performance Metric 1 (Accuracy)

Performance Metric 2 (F-score)

Full pipeline

92.8%

93.5%

No preprocessing

89.3%

90.2%

No segmentation

85.6%

86.5%

No feature extraction

88.2%

89.7%

No preprocessing, no segmentation

82.7%

89.9%

No preprocessing, no feature extraction

83.1%

85.5%

No segmentation, no feature extraction

79.4%

80.9%

No preprocessing, no segmentation, no feature extraction

70.2%

72.4%