Surgical phase recognition in laparoscopic videos using gated capsule autoencoder model-Reference-Cited by-同舟云学术

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Surgical phase recognition in laparoscopic videos using gated capsule autoencoder model

Published:2023-04-26 Issue:5 Volume:11 Page:1973-1995
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Konduri Praveen SR¹,Rao G Siva Nageswara¹

Affiliation:

1. Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

Funder

provided for the preparation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2203280

Reference36 articles.

1. A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos

2. Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis

3. SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery

4. Active learning using deep Bayesian networks for surgical workflow analysis

5. A deep and handcrafted features‐based framework for diagnosis of COVID‐19 from chest x‐ray images

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