Dual Encoder–Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach-Reference-Cited by-同舟云学术

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Dual Encoder–Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach

Published:2024-07 Issue:7 Volume:5 Page:3456-3469
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

P. Lijin¹^ORCID,Ullah Mohib²^ORCID,Vats Anuja²^ORCID,Cheikh Faouzi Alaya³^ORCID,G. Santhosh Kumar¹^ORCID,Nair Madhu S.¹^ORCID

Affiliation:

1. Artificial Intelligence & Computer Vision Laboratory, Department of Computer Science, Cochin University of Science and Technology, Kochi, Kerala, India

2. Norwegian University of Science and Technology, Gjøvik, Norway

3. Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology, Gjøvik, Norway

Funder

Cochin University of Science and Technology (CUSAT) through the JRF fellowship

Research Council of Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9078688/10599850/10438186.pdf?arnumber=10438186

Reference42 articles.

1. Wireless capsule endoscopy

2. Small-Bowel Capsule Endoscopy in Clinical Practice: Has Anything Changed Over 13 Years?

3. Squeeze-and-Excitation Networks

4. WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians

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