# Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review
## Appendix A
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Refs.**} & \multirow{2}{*}{**Domain**} & \multicolumn{4}{c}{**Methodology/Technique**} & \multicolumn{4}{c}{**Feature Extraction**} & \multirow{2}{*}{**CS**} & \multirow{2}{*}{**DS**} & \multirow{2}{*}{**Results**} \\ \cline{3-3} \cline{5-8}  & & **Task** & & **ML/DL** & **Algorithm** & \
\begin{tabular}{c} **Color** \\ **Space** \\ \end{tabular} &
\begin{tabular}{c} **Extraction** \\ **Domain** \\ \end{tabular} & \multirow{2}{*}{**CS**} & \multirow{2}{*}{**DS**} & \multirow{2}{*}{**Results**} \\ \hline
2016 [108] & Image & C & ML & SVM & Combined & Local & 10-fold & 400 images &
\begin{tabular}{c} A: 89.2\%, R: \\ 93.5\%, S: 80\% \\ \end{tabular} \\ \hline
2016 [102] & Image & C + S & ML & SVM & Combined & Local & 5-fold & 300 images &
\begin{tabular}{c} A: 98.82\%, R: \\ 99.6\%, S: 98.01\% \\ \end{tabular} \\ \hline
2016 [157] & Image & C & DL+ ML & \begin{tabular}{c} (CNN); \\ SVM \\ \end{tabular} & - & - & - & \
\begin{tabular}{c} 10,000 \\ images \\ \end{tabular} &
\begin{tabular}{c} R: 99.20\%, \\ P: 99.90\%, \\ P: 99.50\%, \\ P: 99.55\% \\ \end{tabular} \\ \hline
2016 [125] & Image & C & ML & SVM & - & Global & 4-fold & 912 images &
\begin{tabular}{c} A: 95.06\% \\ \end{tabular} \\ \hline
2017 [80] & Image & C + S & ML & MLP & HSV & Local & - & 223 images &
\begin{tabular}{c} A: 97.47\% \\ S: 91\% \\ \end{tabular} \\ \hline
2017 [29] & Video & C & ML & SVC & HSV & Local & 10-fold & 30 videos &
\begin{tabular}{c} A: 97.67\%, \\ S: 97.57\%, \\ S: 95.46\% \\ \end{tabular} \\ \hline
2017 [47] & Image & C & ML & SVM & RGB & Local & - &
\begin{tabular}{c} A: 97.67\%, \\ R: 97.57\%, \\ S: 95.46\% \\ \end{tabular} \\ \hline
2017 [36] & Video & C + S & ML & SVM & RGB & Local & 10-fold & 400 images &
\begin{tabular}{c} A: 97.96\%, \\ R: 97.75\%, \\ S: 97.99\%, \\ T: 0.280 sec \\ \end{tabular} \\ \hline
2017 [21] & Image & C & ML & SVM & RGB & Local & - & 400 images &
\begin{tabular}{c} A: 98\%, R: 97\%, \\ S: 98\% \\ \end{tabular} \\ \hline
2017 [88] & Image & C + S & ML & SVM & HSV & Local & 3-fold & 970 images &
\begin{tabular}{c} A: 94.4\% \\ S: 98\% \\ \end{tabular} \\ \hline
2017 [43] & Image & S & ML & SVM & HSV & Local & - &
\begin{tabular}{c} 50 BL \\ images \\ \end{tabular} & - \\ \hline
2017 [68] & Image & S & ML & Threshold & HSV & Local & - & 401 images &
\begin{tabular}{c} R: 88.3\%, \\ S: 95.3\% \\ \end{tabular} \\ \hline
2017 [33] & Video & C & ML & SVM & Combined & Local & 5-fold & \
\begin{tabular}{c} 8872 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 95\%, R: 94\% \\ S: 95.3\% \\ \end{tabular} \\ \hline
2017 [127] & Image & C & DL & \
\begin{tabular}{c} LeNet, \\ AlexNet, \\ VGG-Net, \\ GoogleNet \\ \end{tabular} & Other & - & - &
\begin{tabular}{c} 12,090 \\ images \\ \end{tabular} & F1: 98.87\% \\ \hline
2017 [27] & Image & C + S & DL & FCN & - & - &
\begin{tabular}{c} 300 images \\ \end{tabular} & IoU: 0.7750 \\ \hline
2017 [164] & Image & C & DL & CNN & RGB & - & - &
\begin{tabular}{c} 1500 \\ images \\ \end{tabular} & R: 91\%, P: 94.79\%, \\ F1: 92.85\% \\ \hline
2018 [128] & Image & C & DL & FCN & RGB & - & 10-fold &
\begin{tabular}{c} 10,000 \\ images \\ \end{tabular} & A: 97.84\%, \\ AUC: 99.72\% \\ \hline
2018 [85] & Image & S & DL & SegNet & HSV & - & - & 335 images &
\begin{tabular}{c} A: 94.42\%, \\ IoU: 90.69\% \\ \end{tabular} \\ \hline
2018 [165] & Image & C & DL & CNN & Other & - & - & - & AUC: 0.90 \\ \hline
2018 [41] & Video & S & DL & CNN & - & - & - &
\begin{tabular}{c} 6360 \\ images \\ \end{tabular} & R: 100\%, S: 96\% \\ \hline
2018 [28] & Video & S & DL & U-Net & - & - & - & \
\begin{tabular}{c} 3295 \\ images \\ \end{tabular} &
\begin{tabular}{c} A: 95.88\%, \\ R: 99.56\%, \\ S: 93.93\% \\ \end{tabular} \\ \hline
2018 [116] & Image & S & ML & SVM & Combined & Global & - & \
\begin{tabular}{c} 50 BL \\ images \\ \end{tabular} &
\begin{tabular}{c} Dice: 0.81, \\ ME: 0.092 \\ \end{tabular} \\ \hline
2018 [9] & Image & C + S & ML & SVM & HSV & Global & 10-fold & 412 images &
\begin{tabular}{c} A: 98.49\%, \\ T: 17.39\% \\ \end{tabular} \\ \hline
2018 [37] & Video & C & ML & KNN & RGB & Combined & 10-fold & 32 videos &
\begin{tabular}{c} A: 97.85\%, \\ R: 99.47\%, \\ S: 99.15\%, \\ P: 95.75\% \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table}