Recent facts and figures published in various studies in the US show that
approximately 27,510 new cases of gastric infections are diagnosed. Furthermore, it has also been
reported that the mortality rate is quite high in diagnosed cases. The early detection of these
infections can save precious human lives. As the manual process of these infections is timeconsuming and expensive, therefore automated Computer-Aided Diagnosis (CAD) systems are
required which helps the endoscopy specialists in their clinics. Generally, an automated method of
gastric infection detections using Wireless Capsule Endoscopy (WCE) is comprised of the
following steps such as contrast preprocessing, feature extraction, segmentation of infected
regions, and classification into their relevant categories. These steps consist of various challenges
that reduce the detection and recognition accuracy as well as increase the computation time. In
this review, authors have focused on the importance of WCE in medical imaging, the role of
endoscopy for bleeding-related infections, and the scope of endoscopy. Further, the general steps
and highlight the importance of each step has presented. A detailed discussion and future
directions have provided in the last.
Keywords: Wireless capsule endoscopy, preprocessing techniques, feature-based techniques,
segmentation techniques, classification, future trends.
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