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Wireless Capsule Video Endoscopy For Population-Based Colon Cancer Screening Using 5G network

Authors: Ali Khaleghi; Hemin Qadir; Per-Hjalmar Lehne; Ilangko Balasingham;

Wireless Capsule Video Endoscopy For Population-Based Colon Cancer Screening Using 5G network

Abstract

We develop a battery-free communication system for a wireless video capsule endoscope with potential video streaming of a rate of up to 15 Mbps. We apply our innovative approach using backscatter for implants, a RADAR approach that remotely reads the information from the deep implants, such as the video capsule endoscope. We use the 5G deployed network with edge computing and slicing to transmit the video data from the capsule to a high-performance computing platform in a secure way with guaranteed end-to-end latency to perform polyp detection and localization. This way, the energy-intensive inference using deep learning neural networks for polyp detection and localization can be completed in the edge where control signals are sent back to the pill to increase the spatial and temporal resolution of the video, to obtain high-quality images for further analysis. The paper provides a system-level description, demonstrating the capsule data streaming to the network.

Keywords

Wireless communication , 5G mobile communication , Endoscopes , Implants , Streaming media , Real-time systems

20 references, page 1 of 2

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[1] A. Wang, S. Banerjee, B. A. Barth, Y. M. Bhat, S. Chauhan, K. T. Gottlieb, V. Konda, J.T. Maple, F. Murad, P. R. Pfau, and D. K. Pleskow, N2013. Wireless capsule endoscopy. Gastrointestinal endoscopy, 78(6), pp.805-815.

[2] C. Spada, C. Hassan, R. Marmo, L. Petruzziello, M. E. Riccioni, A. Zullo, P. Cesaro, J. Pilz, and G. Costamagna. Meta-analysis shows colon capsule endoscopy is effective in detecting colorectal polyps. Clinical Gastroenterology and Hepatology, 8(6):516-522, 2010.

[3] Rinat Ankri, Dolev Peretz, Menachem Motiei, Osnat Sella-Tavor, and Rachela Popovtzer. New optical method for enhanced detection of colon cancer by capsule endoscopy. Nanoscale, 5(20):9806-9811, 2013.

[4] Fei Wang and Anita Preininger. Ai in health: State of the art, challenges, and future directions. Yearbook of medical informatics, 28(01):016-026, 2019. [OpenAIRE]

Mahbubul Alam, Manar D Samad, Lasitha Vidyaratne, Alexander Glandon, and Khan M Iftekharuddin. Survey on deep neural networks in speech and vision systems. arXiv preprint arXiv:1908.07656, 2019.

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