Adversarial Transfer Learning for Surgical Instrument Segmentation in Endoscopic Images-Reference-Cited by-同舟云学术

Adversarial Transfer Learning for Surgical Instrument Segmentation in Endoscopic Images

Published:2023-12-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS)
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Author:

Mishra Rahul¹,Thangamani A.²,Palle Kowstubha³,Prasad P. Venkata⁴,Mallala Balasubbareddy³,Lakshmi T.R. Vijaya⁵

Affiliation:

1. Chitkara University, Institute of Engineering and Technology, Chitkara University,Centre for Interdisciplinary Research in Business and Technology,Punjab,India

2. Karpagam Academy of Higher Education,Department of Chemistry,Coimbatore,641021

3. Chaitanya Bharathi Institute of Technology,Department of Electrical and Electronics Engineering,Hyderabad,India

4. Chaitanya Bharathi Institute of Technology,Department of EEE,Hyderabad,INDIA

5. Mahatma Gandhi institute of technology,Department of ECE,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527408/10527413/10527520.pdf?arnumber=10527520

Reference17 articles.

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3. SBML algorithm for intelligent fuel filling (IFF) and smart vehicle identification system (SVIS);Logeshwaran;International Journal of Advanced Research in Management, Architecture, Technology & Engineering,2016

4. Unpaired deep adversarial learning for multi‐class segmentation of instruments in robot‐assisted surgical videos

5. TMF-Net: A Transformer-Based Multiscale Fusion Network for Surgical Instrument Segmentation From Endoscopic Images

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