Polyps Detection in Endoscopy Live Feeds

Volume: 10    Issue: 1

Year of Publication: 2024

Pages: (23-28)

Authors: Hemalatha S, Santhiya A K, Dharshanashri G, Prabin R, Rahul Shriram S G

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Abstract

Endoscopy procedures are essential in detecting and preventing colorectal cancer, primarily through identifying and removing polyps. Despite their critical role, polyps are often missed during routine colonoscopies due to factors such as physician fatigue or suboptimal viewing angles. Automated, real-time computer-aided detection (CAD) systems offer a solution to enhance polyp detection rates and accuracy during endoscopic procedures. However, real-time implementation in live feeds presents unique challenges, requiring a balance between computational speed and detection precision to minimize disruption to clinical workflows. This study addresses these challenges by introducing an optimized detection framework specifically designed to detect polyps in real-time in live endoscopic feeds. Using advanced detection techniques tailored to the endoscopy setting, we achieve both high precision and speed, critical for supporting endoscopists in real-time. Our results highlight the potential of real-time polyp detection systems to aid early colorectal cancer prevention by enhancing polyp detection rates without impeding clinical performance.

References

1. The American Cancer Society medical and editorial content team. (2018, 02 21). What Is Colorectal Cancer? (cancer.org) Retrieved 10 01, 2019, from https://www.cancer.org/cancer/colon-rectal-cancer/about/what-is-colorectal-cancer.html

Keywords

Colorectal cancer prevention, polyp detection, real-time detection, endoscopy, clinical computer-aided detection systems, deep learning.