Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos

Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos

Background: Deep learning has gained much attention in computer-assisted minimally invasive surgery in recent years. The application of deep-learning algorithms in colonoscopy can be divided into four main categories: surgical image analysis, surgical operations analysis, evaluation of surgical skil...

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Bibliographic Details
Main Authors: Hajar Keshavarz, Zohreh Ansari, Hossein Abootalebian, Babak Sabet, Mohammadreza Momenzadeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-06-01
Series:Journal of Medical Signals and Sensors
Subjects:
automatic polyp detection
deep learning
image processing
transfer learning
Online Access:https://journals.lww.com/10.4103/jmss.jmss_23_24
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