• Aditi Dhiman

One of the significant challenges in Capsule Endoscopy (CE) is to precisely determine the pathologies location. The localization process is primarily estimated using the received signal strength from sensors in the capsule system through its movement in the gastrointestinal (GI) tract. Consequently, the wireless capsule endoscope (WCE) system requires improvement to handle the lack of the capsule instantaneous localization information and to solve the relatively low transmission data rate challenges. Capsule localization and tracking are considered to be the most important features of the WCE system, thus the current article emphasizes the most common localization systems generally, highlighting the DOA-based localization systems and discusses the required significant research challenges to be addressed. In the proposed method, first region of interest (ROI) is identified and then that ROI is used for feature extraction followed by bleeding image classification. One major advantage in ROI selection is that the computational cost involved in feature extraction and classification will be drastically reduced. An efficient scheme for bleeding detection from WCE images in YIQ domain. Instead of directly using all four spaces of YIQ color model, a new composite color space Y.I/Q is proposed. Our experiments have shown that our computer-assisted diagnostic-procedure algorithm can be used for extracting gastritis and gastrointestinal bleedings in WCE.

Wireless Capsule Endoscopy, Radio Frequency, Deep Neural Network, Region of Interest, Direction of Arrival

"An Efficient Bleeding Detection Technique in Wireless Capsule Endoscopy from Region of Interest", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.591-597, June 2019, Available :http://www.jetir.org/papers/JETIR1907O69.pdf

"An Efficient Bleeding Detection Technique in Wireless Capsule Endoscopy from Region of Interest", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp591-597, June 2019, Available at : http://www.jetir.org/papers/JETIR1907O69.pdf