# Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review
## Appendix A
\begin{tabular}{c c c c c c c c c c} \hline \hline  & & \multicolumn{3}{c}{**Methodology/Technique**} & \multicolumn{3}{c}{**Feature Extraction**} & \\ \cline{3-10}
**Refs.** & **Domain** & **Task** & **ML/DL** & **Algorithm** & \
\begin{tabular}{c} **Color** \\ **Space** \\ \end{tabular} &
\begin{tabular}{c} **Extraction** \\ **Domain** \\ \end{tabular} & **CS** & **DS** & **Results** \\ \hline
2014 [101] & Image & C & ML & SVM & Combined & Local & 1-fold & \
\begin{tabular}{c} 1000 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 93.40\%, \\ R: 95.50\%, \\ S: 92.87\% \\ \end{tabular} \\ \hline
2014 [32] & Video & C + S & ML & MLP & RGB & Global & - & 428 images &
\begin{tabular}{c} A: 93.7\%, R: \\ 94.5\%, S: 80.0\% \\ \end{tabular} \\ \hline
2015 [78] & Image & C & ML & \
\begin{tabular}{c} Random \\ Tree \\ \end{tabular} & HSV & Global & 10-fold & 200 images &
\begin{tabular}{c} A: 99.7\%, R: 89\%, \\ S: 99\% \\ \end{tabular} \\ \hline
2015 [118] & Image & C & ML & SVM & RGB & Combined & - & 1200 &
\begin{tabular}{c} A: 99.19\%, \\ R: 99.41\%, \\ S: 98.95\% \\ \end{tabular} \\ \hline
2015 [63] & Image & C & ML & SVM & RGB & Local & - & 800 images &
\begin{tabular}{c} A: 95.89\%, \\ R: 98.77\%, \\ S: 93.45\% \\ \end{tabular} \\ \hline
2015 [61] & Image & S & ML & Threshold & RGB & Global & - & 690 images &
\begin{tabular}{c} A: 98.56\% \\ R: 96.48\%, \\ S: 96.01\% \\ \end{tabular} \\ \hline
2015 [57] & Image & C & ML & KNN & RGB & Combined & 1-fold & \
\begin{tabular}{c} 1000 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 96.10\%, \\ R: 96.48\%, \\ S: 96.01\% \\ \end{tabular} \\ \hline
2015 [89] & Image & C & ML & SVM & Other & Local & 1-fold &
\begin{tabular}{c} 15 videos \\ R: 93.50\%, S: 94\% \\ \end{tabular} \\ \hline
2015 [90] & Image & C & ML & KNN & Other & Local & 10-fold & \
\begin{tabular}{c} 2300 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 97.50\%, \\ R: 94.33\%, S: 98.21\% \\ \end{tabular} \\ \hline
2015 [97] & Image & C & ML & KNN & Other & Local & 10-fold & \
\begin{tabular}{c} 332 images \\ \end{tabular} &
\begin{tabular}{c} A: 96.38\%, \\ R: 95.17\%, \\ S: 97.32\% \\ \end{tabular} \\ \hline
2015 [92] & Image & C & ML & SVM & Other & Local & 10-fold & \
\begin{tabular}{c} 2400 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 95.75\%, \\ AUC: 0.9771 \\ \end{tabular} \\ \hline
2015 [109] & Image & C & ML & SVM & Combined & Global & 10-fold & 252 images &
\begin{tabular}{c} A: 94\%, R: 96\%, S: 91\% \\ \end{tabular} \\ \hline
2015 [26] & Image & S & ML & SVM & Combined & Local & - & \
\begin{tabular}{c} 3596 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 94.10\%, \\ R: 91.69\%, \\ S: 94.59\% \\ \end{tabular} \\ \hline
2016 [91] & Image & S & ML & PCA & Other & Local & 10-fold & \
\begin{tabular}{c} 1330 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 94.34\% \(\pm\) \\ 0.0235, AUC: \\ 0.9532 \(\pm\) 0.0172 \\ \end{tabular} \\ \hline
2016 [31] & Video & S & ML & Threshold & RGB & Local & - & 15 videos & - \\ \hline
2016 [62] & Video & C + S & ML & KNN & RGB & Local & 10-fold & \
\begin{tabular}{c} 2300 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 98.12\%, \\ R: 94.98\%, \\ S: 98.55\% \\ \end{tabular} \\ \hline
2016 [64] & Image & C + S & ML & SVM & RGB & Local & - & \
\begin{tabular}{c} 10,000 \\ images \\ \end{tabular} &
\begin{tabular}{c} R: 96.88\%, \\ P: 99.23\%, \\ F: 98.04\% \\ \end{tabular} \\ \hline
2016 [40] & Video & S & ML & SVM & RGB & Local & 8-fold & 8 videos &
\begin{tabular}{c} A: 97\%, R: \\ 95.83\%, S: 98.08\% \\ \end{tabular} \\ \hline
2016 [87] & Image & C & ML & SVM & HSV & Local & 5-fold & \
\begin{tabular}{c} 1650 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 88.61\% \\ \end{tabular} \\ \hline
2016 [79] & Image & C & ML & \
\begin{tabular}{c} Random \\ Tree, \\ Random \\ Forest \\ \end{tabular} & HSV & Global & 10-fold & 200 images &
\begin{tabular}{c} A: 99.5\%, R: 99\%, \\ S: 100\% \\ \end{tabular} \\ \hline \hline \end{tabular}