Table 8.

Comparing endoscopy and computer-aided diagnosis (CADx) with previous surveys and review articles, the surveys either discussed these aspects (✓) or did not include them (×)

Refs/Years	Description	I	S	F	C	A	D
Perperidis et al (2020) [355]	Provides a comprehensive overview of images'colors, noise, and modalities of GI tract screening, position, FOV, and accuracy.	✓	×	×	×	×	×
Kim et al (2021)[356]	The summary of early gastric cancer screening with the notion is described including modalities advancement that is used for visualizing the micro-vascular structures.	✓	×	×	×	×	×
Weigt, J., et al (2021) [357]	The effecting parameters of the modalities such as problems in training, cost, and lesion detection accuracy are addressed with the current improvements in modalities that provide future directions about diseases.	✓	×	×	×	×	×
Kolb et al (2021) [358]	Elaborate and point out the suitable imaging technology for diagnosing GI tract diseases.	✓	×	×	×	×	×
Caroppo et al (2021) [359]	Explores the segmentation, feature extraction, and selection methods related to CADx which are not addressed explicitly in earlier literature.	✓	×	✓	✓	✓	✓
Adewole, S., et al (2021) [360]	A detailed overview of visual and nonvisual WCE is given where the occurrence of events in WCE, and different GI-tract scenarios with quantitative measures are described.	×	×	×	×	✓	×
Muhammad, K., et al (2020) [361]	The pros and con of the WCE over other endoscopy methods used in CADx is addressed.	×	✓	×	✓	×	×
Soffer, S., et al (2020) [52]	Summarizes the imaging modalities used in GI tract screening such as ways to diagnose celiac disease by using techniques of computer vision.	✓	×	×	✓	✓	×
Xia, J., et al (2020) [362]	A detailed survey on segmentation, and classification techniques, with identification of major challenges in WCE.	×	✓	×	✓	×	×
Ali, H., et al (2019) [295]	A detailed overview including segmentation, feature selection, and classification methods in the CADx system is briefly described.	×	✓	✓	✓	×	×
Rahim et al (2020) [363]	The methods and results comparison with statistical measures of CADx systems are described explicitly.	×	×	✓	✓	×	×
Proposed work	The detail of CADx system methods used for detecting and classifying the diseases in the GI tract is addressed as image acquisition techniques and their challenges.	✓	✓	✓	✓	✓	✓