Real-time deployment and test set analysis of automatic colonoscopy polyp identification architecture-Reference-Cited by-同舟云学术

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Real-time deployment and test set analysis of automatic colonoscopy polyp identification architecture

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Signal Processing and Integrated Networks (SPIN)
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Author:

Garg Nikita¹,Palak ²,Goel Nidhi¹

Affiliation:

1. IGDTUW,ECE department,New Delhi

2. DTU,ECE department,New Delhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115458/10115464/10116179.pdf?arnumber=10116179

Reference31 articles.

1. Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

2. Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

3. Real-time polyp detection model using convolutional neural networks

4. Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

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1. Comparing Different Models for Polycystic Ovary Syndrome Diagnosis: An Empirical Investigation on a Large Clinical Dataset;2023 IEEE Women in Technology Conference (WINTECHCON);2023-09-21

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