# Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review
## Appendix A

Table 10: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Refs. **} & \multirow{2}{*}{**Domain**} & \multicolumn{3}{c}{**Methodology/Technique**} & \multicolumn{3}{c}{**Feature Extraction**} & \multirow{2}{*}{**CS**} & \multirow{2}{*}{**DS**} & \multirow{2}{*}{**Results**} \\ \cline{3-3} \cline{5-8}  & & **Task** & **ML/DL** & **Algorithm** & **Color Space** & **Extraction Domain** & & & \\ \hline
2018 [39] & Video & C & ML & SVM & RGB & Combined & 10-fold & 32 videos & P: 97.05\%, FPR: 1.1\%, FNR: 22.38 \\ \hline
2018 [54] & Image & C + S & ML & Naive & RGB & Local & - & - & M:0.3478, SD:0.3306 for R channel. \\ \hline
2018 [67] & Image & C & ML & Fuzzy C-Means & HSV & Local & 10-fold & 1275 images & A: 90.92\%, FPR: 1.1\%, FNR: 22.38 \\ \hline
2018 [103] & Image & C + S & ML & KNN & Combined & Global & - & 1000 images & A: 99.22\%, FSR: 98.51\%, S: 99.53\% \\ \hline
2 \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Refs.**} & \multirow{2}{*}{**Domain**} & \multicolumn{3}{c}{**Methodology/Technique**} & \multicolumn{3}{c}{**Feature Extraction**} & \multirow{2}{*}{**CS**} & \multirow{2}{*}{**DS**} & \multirow{2}{*}{**Results**} \\ \cline{3-3} \cline{5-8}  & & **Task** & & **ML/DL** & **Algorithm** & **Color Space** & **Extraction Domain** & & & \\ \hline
2019 [44] & Image & S & DL & U-Net & - & - & - & 335 images & A: 98.5\%, IoU: 86.3\% \\ \hline
2019 [84] & Image & S & DL & CNN & HSV & - & 5-fold & 778 images & A: 98.9\%, R: 94.8\%, S: 99.1\%, AUC: 99.7\% \\ \hline
2019 [86] & Image & C + S & DL + ML & (CNN); KNN & HSV & Global & 10-fold & 4500 & A: 99.42\%, P: 99.51\%, S: 100\% \\ \hline
2019 [156] & Image & C + S & DL + ML & (CNN); MLP & Combined & Global & - & 778 images & AUC-ROC: \textgreater{}0.97 \\ \hline
2020 [129] & Image & C & DL & VGGNet & - & - & 10-fold & 7556 & A: 96.83\%, R: 97.61\%, S: 96.04\% \\ \hline
2020 [166] & Image & C + S & DL & CNN & Combined & - & - & 94 images & A: 97.8\%, R: 98.6\%, S: 86.3\% \\ \hline
2020 [167] & Image & S & DL & CNN & Other & - & - & 3895 & A: 95\% \\ \hline
2020 [115] & Image & C & ML & SVM & Combined & Global & 10-fold & 2588 & A: 92.23\%, R: 86.15\%, P: 86.15\%, P: 89.11, Fl: 97.60 \\ \hline
2020 [100] & Image & C + S & ML & Naive & Other & Local & - & 55,000 & A: 98.6\%, S: 86.3\% \\ \hline
2020 [124] & Image & C & ML & SVM & - & Local & 5-fold & 912 images & A: 98.18\%, R: 98\%, F: 98\%, F1: 98\% \\ \hline
2021 [46] & Image & C + S & DL & SegNet & HSV & - & - & 2350 & A: 94.42\%, IoU: 90.69\% \\ \hline
2021 [30] & Video & C & ML & SVM & Combined & Global & - & 2 videos & - \\ \hline
2021 [23] & Image & C & DL + ML & (VGG19, InceptionV3, ResNet50); SVM & RGB & Global & 10-fold & 56,448 & A: 97.71\% \\ \hline
2021 [1] & Image & C & ML & SVM & HSV & Global & 10-fold & 2393 & A: 98.2\%, R: 98\%, S: 98\%, P: 93\%, F1: 95.4\% \\ \hline
2021 [45] & Image & C + S & ML & SVM & Combined & Local & 10-fold & 3294 & A: 99.88\%, R: 99.83\%, S: 100\% \\ \hline
2021 [42] & Image & C & DL & MobileNet & - & - & 10-fold & 1650 & A: 99.9\%, F1: 99.7\% \\ \hline
2021 [138] & Image & S & DL & U-Net & RGB & - & - & 3295 & A: 95.90\%, Dice: 91\% \\ \hline
2021 [140] & Image & C & DL & CNN & RGB & - & - & 23,720 & R: 86.6\%, S: 95.9\% \\ \hline
2021 [141] & Image & C + S & DL & CNN & RGB & - & - & 20,000 & A: 98.9\%, F1: 93.5\% \\ \hline
2021 [137] & Image & C + S & DL & RCNN & RGB & - & - & 1302 & R: 66.67\%, S: 71\%, F1: 75.00\% \\ \hline \hline \end{tabular}
\end{table} 
Table 1: _Cont._  
\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{3-4} \cline{6-9}  & & **Task** & & **ML/DL** & **Algorithm** & **Color Space** & **Extraction Domain** & & & \\ \hline
2021 [135] & Image & C & DL & \ \begin{tabular}{c} Inception- \\ Resnet-V2 \\ \end{tabular}