Table 2: Summary of abnormality types, features and claimed experimental results.

PaperPathologyFeatureExperiment results
BleedingPolypTumorUlcerColorTextureShapeImage countSensitivitySpecificity

Chen et al. [3]1,857,65771.54%N/A
Lau and Correia [6]1,70588.30%N/A
Liu and Yuan [7]80099.73%98.89%
Giritharan et al. [8]275,00083.1%93.6%
Penna et al. [9]1,11192%88%
Karargyris and Bourbakis [10]N/AN/AN/A
Li and Meng [11, 12]20092.6%91%
Li and Meng [13, 14]10093.28%91.46%
Karargyris and Bourbakis [15]50100%67.5%
Iakovidis et al. [16]4,00087.5%N/A
Karargyris and Bourbakis [17]5075%73.3%
Li et al. [18]30089.8%82.5%
Barbosa et al. [19]19298.7%96.6%
Barbosa et al. [20]60097.4%97.5%
Karkanis et al. [21]N/AN/AN/A
Li and Meng [22]30097.33%96%

Sensitivity = Number of True Postives/(Number of True Postives + Number of False Negatives). Sensitivity of 100% means no positives are incorrectly marked as negative. In other words, the test recognizes all positives.
Specificity = Number of True Negatives/(Number of True Negatives + Number of False Postives). Specificity of 100% means no negatives are incorrectly marked as positive. In other words, the test recognizes all negatives.
N/A: data is not available.