Real-Time Colonic Disease Diagnosis with DRL Low Latency Assistive Control-Reference-Cited by-同舟云学术

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Real-Time Colonic Disease Diagnosis with DRL Low Latency Assistive Control

Published:2024-06-26 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
language:
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Author:

Soliman Abdulrahman¹,Yaacoub Elias¹,Mabrok Mohamed²,Navkar Nikhil V.³,Abayazid Momen⁴,Mohamed Amr¹

Affiliation:

1. Qatar University,Department of Computer Science and Engineering,Qatar

2. Qatar University,Department of Mathematics, Statistics, and Physics,Qatar

3. Hamad Medical Corporation,Department of Surgery,Qatar

4. University of Twente,Department of Robotics and Mechatronics,Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596554/10596704/10596912.pdf?arnumber=10596912

Reference27 articles.

1. Changing Global Epidemiology of Inflammatory Bowel Diseases: Sustaining Health Care Delivery Into the 21st Century

2. Factors influencing the miss rate of polyps in a back-to-back colonoscopy study

3. Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques

4. Distractions in the operating room: a survey of the healthcare team

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